Updated August 16, 2026: Initial publication. Model sizes and memory figures verified against official model releases as of this date; this table is refreshed quarterly because model sizes churn.

Every hardware guide for local AI eventually comes down to one question: will the model fit? This page answers it with numbers, then goes one step further than the spec-sheet math. Where a model class appears in the tables below, we have run it in the StorageReview lab, and the hardware recommendations link to systems we have actually tested on our desktop and laptop Local AI leaderboards.

The short version: parameter count alone no longer predicts hardware requirements. Quantization shrinks weights by roughly 4x, mixture-of-experts models run far lighter than their total parameter counts suggest, and agentic workloads add a memory tax that most sizing guides skip entirely. Here is how to budget all three.

Model Memory Requirements

File sizes below are the common Q4_K_M quantized releases (or the native format where noted) as published on Ollama and Hugging Face in August 2026. The “Memory to Run” column adds working overhead and a moderate context window; figures marked with an asterisk are computed estimates, while the GPT-OSS and DeepSeek 671B figures are the vendors’ own statements.

Model	Parameters	Q4 / Native Download	Memory to Run*	Runs On
Llama 3.1 8B	8B	4.9 GB	~6 to 8 GB	8GB VRAM laptops and up
Phi-4 14B	14.7B	9.1 GB	~11 to 12 GB	16GB VRAM or 64GB shared-memory laptops
GPT-OSS 20B (MXFP4)	21B (3.6B active)	12 to 14 GB	~13 to 16 GB	16GB VRAM, shared-memory laptops
Mistral Small 3.2 24B	24B	15 GB	~18 to 20 GB	24GB RTX PRO laptops
Gemma 3 27B	27B	17 GB	~20 to 22 GB	24GB RTX PRO laptops, unified-memory desktops
Qwen3 30B-A3B	30.5B (3.3B active)	19 GB	~22 to 24 GB	24GB VRAM (tight) or unified memory
QwQ 32B / DeepSeek-R1 32B	32B	20 GB	~22 to 24 GB	24GB VRAM (tight) or unified memory
Llama 3.3 70B / R1 Distill 70B	70B	43 GB	~48 to 50 GB	96GB+ unified memory, RTX PRO 6000 towers
GPT-OSS 120B (MXFP4)	117B (5.1B active)	65 GB	~65 to 80 GB	96GB to 128GB unified memory, 96GB GPUs
DeepSeek-R1 671B (full)	671B (37B active)	404 GB	450+ GB	Out of reach for desktops; rack-scale territory

*Estimates assume roughly 8K of active context and about 15 percent runtime overhead on top of the weight file. Larger contexts cost substantially more; see the agentic tax below.

Two patterns worth noticing. First, mixture-of-experts changes the math: GPT-OSS 120B carries 117 billion parameters but activates only 5.1 billion per token, so it runs on a single 96GB to 128GB memory pool, and OpenAI states the target as a single 80GB GPU. We have run it on the HP Z2 Mini G1a, a 1-liter machine with no discrete GPU at all. Second, the full DeepSeek-R1 at 671B parameters is in a different universe: 404GB just to download at Q4, roughly 450GB of combined memory to run it acceptably. Nothing on any of our leaderboards runs it, and no desktop should try.

What Runs Where

8GB VRAM laptops (RTX PRO 500 to 2000 class). Comfortable with 7B to 8B models at Q4 and the smaller Phi and Gemma variants. The ceiling is real: in our testing, a 13B model that wanted about 12GB of graphics memory simply did not finish on 8GB cards. Our Best Laptops for Local AI page covers the field.

24GB VRAM systems (RTX PRO 5000 laptops, desktop RTX cards). The sweet spot for 14B to 27B models with context to spare, and the fastest way to run them; our Dell Pro Max 18 Plus leads that field at 185 tokens per second on Phi. The 32B class fits at Q4 but leaves little room for context, which matters more than you think once agents are involved.

Unified and shared memory systems (96GB to 128GB). AMD Strix Halo machines can assign up to 96GB of system RAM to the GPU, and GB10 systems like the NVIDIA DGX Spark carry 128GB of coherent memory. This class runs 70B models at Q4 and GPT-OSS 120B, trading speed for capacity. The Best Desktops for Local AI leaderboard ranks them, and the same architecture reaches laptops in the HP ZBook Ultra G1a 14, which loaded DeepSeek-R1 70B in our testing.

RTX PRO 6000 workstation towers (96GB per card, up to 384GB tested). Speed and capacity at once: 70B models at higher quantization with full context, GPT-OSS 120B with headroom, or several models resident simultaneously for multi-agent pipelines. Our Best Desktop Workstations leaderboard covers the class, topped by the four-GPU-capable HP Z8 Fury G6i.

The Agentic Tax: Context Is a Second Memory Budget

Sizing from the weight file alone works for short chat sessions. Agents break that assumption. An agent loops: it reads tool output, files, and prior steps back into its context window, and every token held in context costs memory in the KV cache on top of the weights. The costs are not small.

Model Class	KV Cache at 32K Context	KV Cache at 128K Context	Rough Cost per 1,000 Tokens
8B (Llama 3.1 8B, FP16 KV)	4.19 GB	16.78 GB	~0.13 GB
70B (Llama 3.3 70B, FP16 KV)	10.49 GB	41.94 GB	~0.33 GB

Read that table against the sizing one above and the problem is obvious. A 70B model at Q4 is 43GB of weights, but at a full 128K context it needs roughly 85GB in total, which is double the weights. An 8B model at 128K spends more memory on context (16.78GB) than on its own Q4 weights (4.9GB). KV cache quantization helps, with FP8 halving those figures and INT4 quartering them at some quality cost, but the planning rule stands: for agentic work, budget context like a second model.

Serving multiplies the tax again. If a system hosts several agents or users concurrently, each request holds its own KV cache. vLLM, the serving stack we benchmark with on our Local AI leaderboards, pre-allocates 90 percent of GPU memory by default precisely because KV space is what determines how many concurrent requests survive without throughput-killing preemption. A machine that runs one chat comfortably can be undersized for three agents.

System RAM: The Forgotten Third Leg

For GPU-only inference, system RAM just needs to stay out of the way, and 32GB to 64GB is a comfortable floor on the machines we test. It becomes decisive in two cases. Offloading, where layers that do not fit in VRAM spill to CPU, works through memory-mapped model files, so system RAM should at least match the model file size plus OS headroom. And on unified memory machines, system RAM is the GPU memory, which is exactly why 64GB and 128GB configurations dominate our Local AI leaderboards. Ollama’s own floor guidance runs 8GB of RAM for 7B models, 16GB for 13B, and 32GB for the 33B class; treat those as minimums, not targets.

Storage: The Leg Everyone Skips

Model libraries get large quickly. The ten models in our sizing table total roughly 240GB in their common quantizations, and a working library with a few variants, embedding models for retrieval, and vector stores for agent memory can pass 500GB before any project data arrives. On top of that, agentic workflows generate real scratch traffic: logs, checkpoints, and retrieval indexes that live alongside the models.

Load time is where drive class shows up. The arithmetic is simple: a 65GB GPT-OSS 120B file reads in about 109 seconds at SATA speeds, roughly 17 seconds on a Gen3 NVMe drive, and under 9 seconds at Gen4 rates, first load only, since the OS page cache makes reloads near-instant. Real-world loaders do not always sustain full drive speed, so we plan to publish our own measured model-load numbers across drive classes; watch the changelog. Our Storage Leaderboard covers the drives themselves.

Practical guidance: 2TB NVMe is the sensible floor for a dedicated AI workstation, 4TB if the machine hosts agents that accumulate state, and Gen4 or better if you swap between large models regularly.

Agentic AI Hardware FAQ

How much VRAM do I need to run a 70B model locally?

About 48 to 50GB at Q4 with moderate context, which is why this class belongs to 96GB unified memory machines and 96GB workstation GPUs rather than any consumer card. Push the context toward 128K and the total approaches 85GB. Run it at Q8 and the weights alone are 75GB.

Can I run the full DeepSeek-R1 locally?

Not on anything this site ranks. The full 671B model is a 404GB download at Q4 and wants roughly 450GB of combined memory to run acceptably. The practical local path is the official distills, and the 32B and 70B distills in our sizing table capture much of the capability at desktop-class requirements.

Do mixture-of-experts models change the hardware math?

Substantially. MoE models activate a fraction of their parameters per token, so memory scales with total parameters but speed scales closer to active parameters. GPT-OSS 120B (5.1B active) and Qwen3 30B-A3B (3.3B active) both run faster than their sizes suggest on the memory pools that fit them. You still need the memory for all the weights; you just get more speed per gigabyte.

How much storage does an AI workstation need?

Plan 2TB NVMe minimum, 4TB for agent hosts. A modest model library alone runs hundreds of gigabytes, agents accumulate logs and vector stores, and the largest single files (65GB and up) make slow drives painful every time you load or swap a model.

What hardware should I buy for local agents specifically?

Prioritize memory over raw speed. Agents hold long contexts and sometimes run concurrently, so the KV cache budget matters as much as the weight budget. A 96GB to 128GB unified memory system on our desktop Local AI leaderboard is the most economical entry, and RTX PRO 6000 towers on the workstation leaderboard are the answer when speed and concurrency both matter.

On the Horizon: GB300 Is in the Lab

Everything above reflects hardware we have tested. One system that will change the math is already on the bench: we have an NVIDIA GB300 Grace Blackwell Ultra deskside system in for review.

The reason it matters for this guide is memory. Every recommendation on this page works around a hard ceiling, splitting models across GPUs, leaning on quantization, or accepting CPU offload when weights and KV cache will not fit. NVIDIA specs the GB300 deskside systems with several hundred gigabytes of coherent memory addressable by the accelerator, which is a different order of magnitude from the 96GB-class cards that anchor the tables above. Model classes that currently require a multi-GPU tower, or that we list as impractical to run locally at all, move into single-box range.

We are not going to put numbers to that until we have run it. No figure on this page is based on GB300, and nothing here has been adjusted in anticipation of it. When the review publishes, this guide gets revised against measured results and the change will be noted in the log below.

How We Maintain This Guide

Model sizes and the popular-model roster change quarterly, faster than any hardware cycle. We re-verify the sizing table against official releases on a quarterly pass, and lab receipts are added as new systems clear our Local AI testing. Changes land in the dated note at the top of the page. Sizing figures marked as estimates use the published weight file plus measured KV cache costs and standard runtime overhead; vendor-stated figures are identified as such.

The post RAM, GPU, and Storage for Agentic AI: How Much You Actually Need appeared first on StorageReview.com.

Updated August 15, 2026: Initial publication with 27 tested Ubiquiti products. This page is refreshed every few weeks as new review units come through the lab.

Every product on this page has been through the StorageReview lab. Ubiquiti ships faster than almost any vendor we cover, and the catalog has grown to the point where picking between four NAS models or nine cameras is genuinely hard. This is the index: every UniFi and Ubiquiti product we have tested, grouped by what it does, with the specs that matter, our take, and a link to the full review behind each one.

Affiliate disclosure: the links in the Buy (affiliate) column of every table on this page are affiliate links to Ubiquiti’s store. If you purchase through one, StorageReview may earn a commission at no extra cost to you. Affiliate relationships never affect our testing, our conclusions, or which products we cover, and we do not list any product we have not tested in our lab.

A note on pricing: the price column is what the product cost at the time we reviewed it. Ubiquiti pricing is more stable than most of the hardware we cover, but check the store for current numbers before buying.

Where to Start

If you are building a UniFi setup from scratch, the order that matters is gateway, then switching, then cameras or storage. The Cloud Gateway Fiber at $279 is the cheapest sensible entry to 10G with real IDS/IPS throughput, and the Dream Router 7 folds WiFi 7 into the same box if you would rather not run separate access points.

For storage, the split is straightforward. The UNAS 2 is the $199 two-bay starting point, the UNAS Pro is the seven-bay enthusiast box, and the Enterprise NAS is where Ubiquiti stops competing with home NAS vendors and starts competing on real throughput, at 4,170 MB/s sequential read in our testing.

On cameras, nearly everything current is 4K with on-device AI, so the decision is form factor and field of view rather than image quality. The G6 Turret at $199 is the volume pick, the G6 Pro 360 replaces several cameras in one room, and you will need an NVR or a Protect-capable gateway to record any of it.

Our Picks

Every pick below is a product we have had in the lab. Full reviews are linked from each entry, and the complete list of everything we have tested follows.

Best UniFi NAS Overall: Ubiquiti Enterprise NAS

A 3U 16-bay ZFS box with dual 25GbE that measured 4,170 MB/s sequential NFS read and 90.9K IOPS 4K random read in our lab. Review: Ubiquiti Enterprise NAS Review

Best UniFi NAS for a Home or Small Office: UniFi UNAS 2

Two bays, PoE++ powered, up to 48TB raw, and 270.5 MB/s read over 2.5GbE. Review: UniFi UNAS 2 Review

Best UniFi Camera: UniFi G6 Turret

4K 8MP on a 1/1.8-inch sensor with on-device face and license plate recognition, at $199. Review: UniFi G6 Turret Review

Best UniFi Camera for Full-Room Coverage: UniFi G6 Pro 360

12MP panoramic sensor covering 180 degrees from a single ceiling mount. Review: UniFi G6 Pro 360 Review

Best UniFi Gateway: UniFi Cloud Gateway Fiber

5 Gbps of IDS/IPS throughput with 10GBASE-T and dual 10G SFP+, the cheapest route into 10G UniFi. Review: UniFi Cloud Gateway Fiber Review

Best UniFi Gateway with WiFi Built In: UniFi Dream Router 7

2.3 Gbps IDS/IPS throughput, WiFi 7, and a 10G SFP+ WAN in one box. Review: UniFi Dream Router 7 Review

Best UniFi Access Point: UniFi E7

Ten spatial streams of WiFi 7 rated at 11.5 Gbps on 6 GHz, with a 10GbE uplink. Review: UniFi E7 and E7-Campus Review

Best UniFi Switch for 10GbE: Switch Pro XG 10 PoE

Ten 10GbE RJ45 PoE ports, a 400W PoE budget, and 240 Gbps of switching capacity. Review: Switch Pro XG 8 PoE and Pro XG 10 PoE Review

Best UniFi Rack Accessory: UniFi Power Distribution Pro

A 2U PDU with 16 individually switchable outlets and 1,875W capacity for $279. Review: UniFi Power Distribution Pro Review

Everything We Have Tested

Network Storage

Product	What It Is	Our Take	Price at Review	Buy (affiliate)
Ubiquiti Enterprise NAS	3U 16-bay ZFS NAS, dual 25GbE SFP28, 64GB ECC, redundant 550W	Measured 4,170 MB/s sequential NFS read and 90.9K IOPS 4K random read	$3,999	Ubiquiti Store
UniFi UNAS Pro 8	2U 8-bay with NVMe cache, dual 10G SFP+, redundant power	Measured just over 2.2 GB/s sequential read	$799	Ubiquiti Store
UniFi UNAS Pro	7-bay desktop NAS, 10G SFP+, 154TB raw as tested	Measured 799 MB/s sequential read in RAID10	$499	Ubiquiti Store
UniFi UNAS 2	2-bay PoE++ NAS up to 48TB raw, 2.5GbE	Measured 270.5 MB/s read and 257.9 MB/s write	$199	Ubiquiti Store

Cameras and NVR

Product	What It Is	Our Take	Price at Review	Buy (affiliate)
UniFi G6 Turret	4K 8MP, 1/1.8-inch sensor, 30m IR, PoE	On-device face and license plate recognition at $199	$199	Ubiquiti Store
UniFi AI Dome	8MP 4K dome with on-device AI, PoE	40m IR, against 30m on the G6 Dome and 9m on the G5	$399	Ubiquiti Store
UniFi G6 Pro 360	12MP panoramic, 180 degree coverage, PoE+	Full-room coverage from a single ceiling camera	$499	Ubiquiti Store
UniFi G6 Dome	8MP 4K dome, 134 degree diagonal FoV, 9.25W max	Professional-grade build at a mid-range price	$279	Ubiquiti Store
UniFi G6 PTZ	Dual-lens 4K with 10x hybrid zoom, PoE+	AI motion tracking with smooth UniFi Protect integration	$399	Ubiquiti Store
UniFi G6 Bullet and G6 Instant	Both 4K 8MP; Bullet wired, Instant wireless	4K AI cameras under $200	$179 to $199	Ubiquiti Store
UniFi AI Camera Series	AI Pro 8MP with 3x optical zoom, AI Bullet, AI Theta	The high end of Protect, up to the $2,499 AI DSLR	$299 to $2,499	Ubiquiti Store
UniFi G5 Series	G5 Bullet, Turret Ultra, Dome Ultra, G5 Pro	The value tier, starting at $129	$129 to $1,800	Ubiquiti Store
UniFi Network Video Recorder Pro	7-bay NVR up to 168TB raw, 10G SFP+	Handles up to 24 4K cameras	$499	Ubiquiti Store

Switching and PoE

Product	What It Is	Our Take	Price at Review	Buy (affiliate)
UniFi Switch Flex 2.5G 8 PoE	8x 2.5GbE PoE++ plus 10GbE input, 60 Gbps capacity	196W of PoE budget with the optional 210W adapter	$199	Ubiquiti Store
Switch Pro XG 8 PoE and Pro XG 10 PoE	8 or 10 10GbE RJ45 PoE ports, dual 10G SFP+	XG 10 carries a 400W PoE budget and 240 Gbps switching	$499 to $699	Ubiquiti Store
Switch Pro Max 16 PoE	12x GbE PoE+ and 4x 2.5GbE PoE++, 10G uplinks	180W PoE in an affordable Layer 3 switch	$399	Ubiquiti Store
Switch Pro Max 48 PoE	48 ports, 4x 10G SFP+, 820W internal supply	720W total PoE and 224 Gbps switching capacity	$1,299	Ubiquiti Store

Gateways and Routers

Product	What It Is	Our Take	Price at Review	Buy (affiliate)
UniFi Cloud Gateway Fiber	10GBASE-T, dual 10G SFP+, NVMe slot to 2TB	5 Gbps IDS/IPS throughput, a cheap route to 10G	$279	Ubiquiti Store
UniFi Dream Router 7	WiFi 7 gateway, 10G SFP+ and 2.5GbE WAN	2.3 Gbps IDS/IPS throughput with WiFi 7 built in	$279	Ubiquiti Store
UniFi Dream Machine Pro Max	8x GbE LAN, dual 10G SFP+, RAID-capable storage	5 Gbps routing with full DPI and IPS enabled	$599	Ubiquiti Store
UniFi Express Gateway (UX)	WiFi 6 travel gateway, USB-C powered, 10W max	Full UniFi in a pocket-sized travel router	$149	Ubiquiti Store

WiFi Access Points

Product	What It Is	Our Take	Price at Review	Buy (affiliate)
UniFi E7 and E7-Campus	WiFi 7, 10 spatial streams, 10GbE uplink, PoE++	Rated 11.5 Gbps on 6 GHz	$499 to $799	Ubiquiti Store
UniFi U7 Pro XG and XGS	WiFi 7 with 10GbE uplink; XGS adds 4×4 on 5 GHz	XGS steps to PoE++ and 4×4 MU-MIMO	$199 to $299	Ubiquiti Store
UniFi U7 Outdoor	WiFi 7 outdoor AP, 2×2 MIMO, IPX6, PoE+	Rated 465m of open-space coverage with the directional antenna	$199	Ubiquiti Store

Power and Tools

Product	What It Is	Our Take	Price at Review	Buy (affiliate)
UniFi Power Distribution Pro	2U PDU, 16 switchable outlets, 1,875W max	Solves real rack headaches for $279	$279	Ubiquiti Store
UniFi UPS Tower	1000VA / 600W tower UPS, 11 outlets	Roughly 50 minutes of runtime at a 36 to 48W load	$159	Ubiquiti Store
UACC SFP Wizard	Pocket transceiver programmer for SFP through QSFP28	75 minutes of continuous SFP diagnostics per charge	$49	Ubiquiti Store

Ubiquiti FAQ

Is Ubiquiti gear worth it?

For the money, in our testing, generally yes, with a caveat. The value is in the ecosystem: one controller for network, cameras, storage, and power, with no per-camera or per-site licensing, which is where competing surveillance and networking stacks quietly get expensive. The caveat is that the value depends on staying inside the ecosystem, so mixing in third-party gear erases much of the advantage.

What is the best UniFi camera?

For most installations, the G6 Turret at $199, which brings 4K, a 1/1.8-inch sensor, 30m IR, and on-device face and license plate recognition at the lowest price in the current G6 line. Choose the AI Dome instead when you need longer night range, at 40m against the G6 Dome’s 30m, and the G6 Pro 360 when one 12MP panoramic camera can replace two or three fixed ones.

Which UniFi NAS should I buy?

The UNAS 2 at $199 for two drives and light duty, the UNAS Pro at $499 for seven bays and 10G, and the Enterprise NAS at $3,999 when you need dual 25GbE, ZFS, and redundant power. The performance gap is wide and worth understanding: we measured 270.5 MB/s on the UNAS 2 against 4,170 MB/s on the Enterprise NAS.

Do I need a UniFi gateway to use UniFi cameras?

You need something running UniFi Protect, which means either a Protect-capable console such as the Dream Machine Pro Max, or a dedicated recorder like the UNVR-Pro. Cameras alone will not record. Budget for the recorder and the storage in it when pricing a camera project, because that is where camera-only quotes tend to fall apart.

How often is this page updated?

Every few weeks. Ubiquiti releases frequently and we test most of what ships, so new entries are added as reviews publish and the dated note at the top records what changed. If a product is not on this page, we have not tested it, and we do not list hardware we have not put through the lab.

The post Ubiquiti Reviews: Every UniFi Product We Have Tested appeared first on StorageReview.com.

NVIDIA has moved Spectrum-X Ethernet Photonics, its co-packaged optics (CPO) Ethernet switch platform, into full production. The company puts the gains at 4x fewer lasers, 5x lower power consumption, and 10x higher mean time between incidents, and it named the five manufacturing partners building the switch at each stage of the supply chain. The milestone lands as the Vera Rubin compute platform it is designed to network moves toward its own production shipments this fall.

Inside the Co-Packaged Optics Switch

Conventional switches rely on pluggable optical transceivers, discrete modules that each carry their own laser and plug into the switch faceplate. Spectrum-X Ethernet Photonics instead integrates optical engines directly adjacent to the switching silicon, built on co-packaged optics with 200Gb/s SerDes. Removing the pluggable tier is what drives the laser count down by a factor of four, and fewer lasers mean fewer discrete components that can fail in a fabric that may span hundreds of thousands of links.

Those failure points are the reason the reliability figure matters more than the power figure for most operators. NVIDIA’s 10x higher mean time between incidents is a claim about how often something in the optical path takes a link down, not about raw throughput. Lowering the thermal and electrical footprint of the networking tier also frees power headroom within the data center envelope for accelerator compute, a concern that drives NVIDIA’s 800 VDC power architecture as well. When NVIDIA first detailed the platform, it framed the same advantages against networks using traditional transceivers as 5x better power efficiency, 5x longer AI uptime, and 1.3x faster time to deployment.

The CPO Supply Chain, Named Stage by Stage

The more unusual disclosure is the manufacturing chain itself, which NVIDIA broke out by stage. TSMC handles silicon photonics fabrication. SPIL performs chip-scale packaging and testing. Lumentum fabricates the laser chips, and TFC Communication builds the laser module subassemblies. Foxconn does the final switch system assembly. Co-packaged optics has spent years as a technology that looked good in demonstrations and proved difficult to yield at volume, so a named, five-vendor chain running in production is a concrete signal of maturity.

Cloud providers, including CoreWeave, Lambda, Oracle Cloud Infrastructure, Microsoft Azure, IBM Cloud, and Nebius, are among the early adopters integrating the CPO fabric.

Vera Rubin, the Platform Being Networked

The switch exists to feed Vera Rubin, which NVIDIA said at GTC Taipei in late May had entered full-scale manufacturing, with production shipments set to begin this fall. Representing the third generation of NVIDIA MGX rack-scale design, the platform is engineered to deliver up to 10x higher agentic AI throughput at scale compared to the previous-generation Grace Blackwell architecture. Systems manufacturing spans Tier 1 server vendors, including Dell Technologies, HPE, Lenovo, and Supermicro, alongside ASUS, ASRock Rack, Compal, Foxconn, GIGABYTE, Inventec, MSI, Pegatron, Quanta Cloud Technology, Wistron, and Wiwynn. On the storage and infrastructure software side, NVIDIA names Cloudian, DDN, Hitachi Vantara, IBM, MinIO, NetApp, Nutanix, VAST Data, and WEKA among partners in full-scale production on the platform.

At the rack level, the Vera Rubin NVL72 integrates Vera CPUs, Rubin GPUs, and sixth-generation NVLink networking into a unified compute envelope. To address multi-tenant compliance and enterprise data protection, the architecture incorporates full-stack NVIDIA Confidential Computing. This implementation establishes a rack-scale Trusted Execution Environment (TEE) featuring hardware-level attestation and end-to-end line-rate encryption across high-speed interconnects to prevent physical and firmware-level tampering.

“Agentic AI is a new kind of workload. One prompt can launch a thousand-step journey of reasoning, retrieval, tool use and response generation,” said Jensen Huang, founder and CEO of NVIDIA. “Vera Rubin was built for this moment,” he added, describing it as “an AI factory engine that delivers intelligence at scale, with the performance, efficiency and security needed to power the next industrial revolution.”

BlueField-4 DPU Integration for Multi-Tenant Isolation

The Vera Rubin architecture also incorporates NVIDIA BlueField-4 Data Processing Units (DPUs) to offload infrastructure workloads from primary host processors. Operating at software-defined networking line rates up to 800 Gb/s, BlueField-4 delivers hardware-isolated multi-tenant networking, telemetry, and storage virtualization. Utilizing the BlueField-4 Advanced Secure Trusted Resource Architecture, cluster operators can enforce granular traffic isolation, automate policy enforcement, and manage control planes across large-scale distributed deployments.

With the optics now in volume manufacturing and Rubin shipments slated to start this fall, the practical question shifts from whether the hardware is real to how quickly operators can prepare for it.

The post NVIDIA Spectrum-X Ethernet Photonics Enters Full Production With 4x Fewer Lasers and a Five-Vendor CPO Supply Chain appeared first on StorageReview.com.

Updated August 14, 2026: Initial publication. Ranked on our current enterprise bench (FIO, GDSIO, and DLIO); drives tested on the older suite are noted in Also Tested.

Every drive ranked on this page has been through the StorageReview lab. We do not rank announced products or vendor spec sheets, which matters more in enterprise storage than anywhere else we cover: the datasheet numbers are achievable, and the interesting question is what happens at sustained load, at low queue depth, and during AI checkpointing. Every pick links to the full review holding the data.

The enterprise field split into two distinct races this cycle. TLC drives are competing on mixed-use throughput and latency consistency for databases, analytics, and AI training. QLC drives are competing on capacity per watt, and they have run away with it: a single bay now holds 245.76TB at roughly 8.2TB per watt, against about 4.4TB per watt for the densest hard drives. The picks below cover both races, plus the form-factor question that increasingly decides deployments before performance does.

At a Glance

Category	Drive	Class	Standout Lab Result	Full Review
Best Overall Enterprise SSD	Micron 9550 MAX	Gen5 TLC, 3 DWPD, up to 25.6TB	10,957.9 MB/s 128K sequential write, the highest in our comparison group	9550 MAX Review
Best Read-Intensive	Kioxia CD9P-R	Gen5 TLC, 1 DWPD, up to 61.44TB	~30 us 4K random read latency at QD1 against 60 to 90 us for the field	CD9P-R Review
Best High-Capacity	Micron 6600 ION 245.76TB	Gen5 QLC, up to 245.76TB	A quarter petabyte per bay at roughly 8.2TB per watt	6600 ION Review
Best Capacity Efficiency	Solidigm D5-P5336 122.88TB	Gen4 QLC, 0.6 DWPD, 122.88TB	134.3PBW endurance in a 24W active envelope, our Editor’s Choice	D5-P5336 Review
Best for EDSFF Deployments	Micron 7600 MAX	Gen5 TLC, 3 DWPD, up to 12.8TB	1.78M IOPS peak 4K random write inside a 14W envelope	7600 MAX Review
Best High-Capacity Alternative	DapuStor R6060 122TB	Gen5 QLC, 0.6 DWPD, up to 245TB	13,274.8 MB/s 64K random read and dual-port support	R6060 Review

The Picks

Best Overall Enterprise SSD: Micron 9550 MAX

The 9550 MAX is the drive that wins on the numbers that matter for mixed-use deployments. In our FIO sweep it led 128K sequential write at 10,957.9 MB/s, roughly 2.5GB/s clear of the next drive in the group, and did it at the lowest write latency in the field at 182.2 microseconds. It was the only drive in that comparison to scale past 10GB/s in 64K random write, averaging 7.34GB/s with a 10.6GB/s peak, and it held the tightest latency curves across nearly every sweep we ran.

Built on Micron 232-layer TLC with a 3 DWPD rating, it comes in 3.2TB through 25.6TB, in both U.2 and E3.S, and our 12.8TB sample is rated for 70,080TBW random and 143,100TBW sequential. In DLIO checkpointing against LLAMA 3.1 405B it posted the lowest average completion times in the group. If one drive has to cover databases, analytics, and AI training pipelines, this is it.

Review: Micron 9550 MAX Review: Balanced Performance for AI, DB, and Analytics

Best Read-Intensive: Kioxia CD9P-R

Read-heavy fleets care about latency at low queue depth more than peak throughput, and that is where the CD9P-R separates itself. At QD1 it served 4K random reads in roughly 30 microseconds while the rest of the group sat between 60 and 90, and it delivered 32.3K IOPS at a single job and single queue depth, clearly ahead of the field. It also tied for the top 128K sequential read at 14,235.9 MB/s and posted the group’s highest 1M GPU Direct Storage read at about 6.2 GiB/s.

The generational jump is real: random write IOPS went from 200K on the CD8P-R at the same capacity to 450K, a 2.25x improvement, with sequential read up 23 percent. It runs BiCS FLASH TLC at 1 DWPD, reaches 61.44TB in 2.5-inch, and our 7.68TB E3.S sample drew 23W active. The tradeoff is honest: it finished last in the group on 128K sequential write at 6,912.4 MB/s. Buy it for reads.

Review: Kioxia CD9P-R Review: Read-Intensive Gen5 Up to 61.44TB

Best High-Capacity: Micron 6600 ION 245.76TB

A quarter petabyte in one bay is a category unto itself. The 6600 ION reached 12,729.8 MB/s in 128K sequential read and roughly 1.75 million IOPS in 4K random read in our testing, which is more than enough to feed read-centric workloads, but the real argument is density per watt. At a 30W ceiling it works out to about 8.2TB per watt against roughly 4.4TB per watt for the highest-capacity enterprise hard drives, and a 720-bay E3.L rack lands at 176.9PB versus 31.7PB filled with 44TB HDDs.

Read the fine print before deploying. Endurance is 1.0 SDWPD sequential but drops to 0.075 RDWPD on 4K random writes, the top capacity uses a 16K indirection unit, and it posted the slowest DLIO passes and the highest 1M GDS write latency in its group at 53.7 milliseconds. For object stores, AI data lakes, and content repositories, those are acceptable trades. For write-mixed tiers, they are not.

Review: Micron 6600 ION 245TB SSD Review: A Quarter Petabyte Per Drive Bay

Best Capacity Efficiency: Solidigm D5-P5336 122.88TB

Solidigm pioneered enterprise QLC and the 122.88TB D5-P5336 is still the efficiency benchmark, and the only drive on this page to earn our Editor’s Choice. It pairs 0.6 DWPD with a 134.3PBW endurance rating over a five-year warranty inside a 24W active envelope, and its 192-layer QLC with a 32K indirection unit delivered 3,152.5 MB/s in 128K sequential write, 25.9 percent faster than the 61.44TB model, with latency 20 percent lower.

It runs on Gen4 rather than Gen5, which caps sequential reads around 7GB/s, but that is often beside the point at this capacity. Know its limit: 16K random write showed no scaling at all between low and high queue depths, holding at about 35,145 IOPS, where the 61.44TB version scaled to 162,711. It is also broadly qualified on major OEM platforms already, which matters when deployment timelines run in quarters.

Review: Solidigm 122.88TB D5-P5336 Review: High-Capacity Storage Meets Operational Efficiency

Best for EDSFF Deployments: Micron 7600 MAX

The 7600 MAX is the drive to specify when the chassis, not the benchmark, drives the decision. It is the only pick here shipping in all three of U.2, E1.S, and E3.S, and it is built on Micron G9 TLC at 3 DWPD with a 14W sequential power envelope, the lowest on this page. In our testing it was the most aggressive scaler in 4K random write, peaking just over 1.78 million IOPS, and it held the tightest 16K sequential read latency in its group at 0.13 milliseconds average.

Peak throughput is not its story. It finished last in the group in both 128K sequential charts, at 6,960.6 MB/s write and 11,240.5 MB/s read, the only drive under 12GB/s. What you get instead is composure under sustained load in a small, power-disciplined package, which is exactly what dense EDSFF servers need. We tested the 6.4TB E3.S; the family runs 1.6TB to 12.8TB.

Review: Micron 7600 MAX Review: Mixed Use 3 DWPD SSD Built for Modern Apps

Best High-Capacity Alternative: DapuStor R6060 122TB

The R6060 is the answer when the 6600 ION is not available or dual-port is a requirement. Its 122.88TB E3.L sample led its comparison group in 64K random read at 13,274.8 MB/s, matched the group high in 1M GDS sequential read at 5.9 GiB/s, and turned in the fastest first DLIO pass at 465.33 seconds. It supports PCIe 5.0 x4 or dual-port 2×2, carries 0.6 DWPD, and a 245TB SKU is in the family.

Small-block writes are the documented weakness, the same profile as every high-density QLC drive here, and the E3.L 2T form factor needs a chassis check before you commit. For read-heavy capacity tiers where dual-port matters, it earns its place.

Review: DapuStor R6060 122TB Review: Read-Heavy Gen5 QLC at Scale

Also Tested

These enterprise drives went through the same lab process and are worth a shortlist spot for the right deployment, even though they do not hold a category slot today.

• Phison Pascari X200P: topped the group in 128K sequential read at 14,242.1 MB/s, but posted the slowest DLIO checkpoint times in the field.
• Solidigm D7-PS1010: a strong 1 DWPD Gen5 drive at 14,163.3 MB/s sequential read, with a documented GPU Direct write collapse to 1.6 GiB/s at high thread counts.
• Western Digital SN861: the 4K random read leader at peak concurrency with 2,555.6K IOPS, though with more run-to-run variability than the 9550 MAX.
• Kingston DC3000ME: a mainstream Gen5 option at 8,477.4 MB/s sequential write, 1 DWPD and 14,016TBW at 7.68TB, aimed at system integrators.
• DapuStor J5060: 61.44TB of Gen4 QLC at 1.69M IOPS 4K random read, with 31.9K IOPS random write showing the QLC write ceiling clearly.
• Micron 6550 ION: the predecessor to the 6600 ION and still the sequential leader in its group at 13,979.7 MB/s read. Note this was a sponsored early look, and its efficiency figures are Micron-supplied.
• Kioxia CM7-R E3.S: solid Gen5 results at 714,623 IOPS 4K random read, tested on our older VDBench suite, so it is not directly comparable to the drives above.
• DapuStor Haishen5 H5100: benchmarked as a 16-drive RAID5 array at 205GB/s read and 18.1M IOPS, an array result rather than a single-drive comparison.

On the Horizon

Nothing in this section is ranked, because none of it has been through our lab. Every figure below is the vendor’s own claim, and the status label matters as much as the specs: shipping, sampling, and show-floor demo are three very different things when you are planning a refresh. We will rank these drives when we can measure them.

PCIe Gen6 arrives: Micron 9650, Samsung PM1763

The Gen6 generation is real and shipping, which is the biggest change coming to this page. Micron’s 9650 entered mass production in February 2026 as the first PCIe Gen6 enterprise SSD, with Micron claiming 28,000 MB/s sequential reads, 14,000 MB/s writes, and up to 5.5 million random read IOPS from G9 TLC in E1.S and E3.S, including a 9.5mm variant built for direct liquid cooling. It comes as a 1 DWPD PRO from 7.68TB to 30.72TB and a 3 DWPD MAX from 6.4TB to 25.6TB, inside a 25W envelope. Samsung followed with the PM1763 in July 2026, claiming 28,400 MB/s reads and 6.8 million random read IOPS, shipping first at 4TB, 8TB, and 15.36TB.

For context on what that means in practice, the fastest Gen5 drive on this page measured 14,235.9 MB/s sequential read in our testing. Gen6 claims roughly double that on paper. Whether it holds up under sustained load, at low queue depth, and through AI checkpointing is exactly what our bench exists to answer.

The capacity race past 245TB

The 6600 ION’s 245.76TB is the ceiling we have actually tested, and vendors are already past it on paper. DapuStor showed a 512TB QLC drive at FMS 2026 in the R6060 family, in E3.L and E2, pitched as a petabyte of flash in two drives. It is a demonstration unit: no performance figures, no pricing, and no availability date have been published. Kioxia’s LC9 at 245.76TB uses a 32-die stack of 2Tb QLC dies over PCIe 5.0 in 2.5-inch and E3.L, and has been sampling since mid-2025 without a confirmed general availability date. SK hynix began sampling its PS1101 QLC enterprise drive to cloud providers in August 2026, claiming roughly 55 percent more performance than its previous generation.

Also worth watching

Kioxia’s CM10 is its first PCIe 6.0 enterprise SSD, sampling as of July 2026, built on 332-layer BiCS FLASH with cold-plate liquid cooling support on the E3.S and E1.S models; Kioxia claims about 92 percent higher sequential read than the CM9, though it has not published absolute figures. Further out, the GP Series uses XL-FLASH with 512-byte access granularity to extend GPU memory rather than serve as conventional storage, with evaluation samples expected at the end of 2026. Solidigm has said publicly that it will ship 245TB-class drives before the end of 2026 but has not named a model or published specs.

How We Rank

Every drive ranked here was tested in the StorageReview lab on our current enterprise bench: a Dell PowerEdge R760 with a Serial Cables Gen5 JBOF running Ubuntu 22.04.2 LTS. The suite is FIO for four-corners and mixed block sizes, GDSIO for GPU Direct Storage paths, and DLIO checkpointing against LLAMA 3.1 405B with 1,636GB checkpoints, which is where AI infrastructure buyers actually feel storage. We rank a drive only after it has been through that bench; announced drives and vendor-supplied numbers do not qualify for a slot, no matter how good the specs look.

One consequence worth stating plainly: our test suite changed in April 2025. Drives reviewed before that ran VDBench or an earlier four-corners methodology, so their numbers are not apples-to-apples with the current field, and they sit in Also Tested with that noted rather than being ranked against newer results.

Enterprise SSD pricing is almost never public and moves with contract, volume, and capacity, so this page carries no value slot and no dollar figures. Where a drive earns a spot, it earns it on measured performance, endurance, efficiency, and form-factor fit.

Enterprise SSD FAQ

What is the best enterprise SSD in 2026?

For mixed-use workloads, the Micron 9550 MAX. It led 128K sequential write at 10,957.9 MB/s with the lowest write latency in our comparison group, was the only drive to scale past 10GB/s in 64K random write, and posted the lowest DLIO checkpoint times, all at 3 DWPD. Read-intensive fleets should look at the Kioxia CD9P-R instead, and capacity-driven tiers at the Micron 6600 ION.

TLC or QLC for the data center?

It depends on the write pattern, and the gap is wider than the datasheets suggest. TLC drives here carry 1 to 3 DWPD and scale small-block writes cleanly. QLC buys enormous capacity per watt, up to 245.76TB in a bay, but every QLC drive we tested showed a small-block write ceiling: the D5-P5336 did not scale 16K random writes at all, and the 6600 ION is rated at just 0.075 RDWPD for 4K random. For read-dominated tiers, object stores, and AI data lakes, QLC is the right economics. For databases and mixed workloads, stay on TLC.

How much endurance do I actually need?

Match DWPD to the workload rather than buying the highest number available. Read-heavy serving tiers run comfortably at 0.6 to 1 DWPD, which is where the high-capacity QLC drives and the CD9P-R sit. Databases, analytics, and AI training pipelines that checkpoint frequently want 3 DWPD, which is the 9550 MAX and 7600 MAX class. Also read the fine print on how endurance is specified: several drives quote different DWPD figures for sequential, 16K random, and 4K random traffic, and the 4K number is often dramatically lower.

Is PCIe Gen5 worth it, and what about Gen6?

Gen5 is the mainstream enterprise choice now, roughly doubling sequential ceilings to the 14GB/s range against about 7GB/s on the Gen4 drives here. Gen6 enterprise SSDs have been announced, with vendor claims up to 28GB/s, but we have not benchmarked one, so nothing Gen6 is ranked on this page. When a Gen6 drive reaches our lab, it will be ranked on measured results like everything else.

U.2, E1.S, or E3.S?

The industry is moving to EDSFF, and form factor increasingly decides the shortlist before performance does. U.2 remains the safe choice for existing 2.5-inch bays and is still where the largest capacities land. E3.S is where new Gen5 server designs are going, and E1.S suits dense, power-constrained nodes. The Micron 7600 MAX is the only drive on this page shipping in all three, which is why it holds the EDSFF slot. Check chassis compatibility before committing, especially for the taller E3.L 2T drives used at the highest capacities.

What is the largest enterprise SSD available?

The Micron 6600 ION at 245.76TB, which we have tested at that capacity. It is available in U.2 and E3.L, and DapuStor lists a 245TB SKU in the R6060 family as well. The practical consideration is not whether the capacity exists but whether your rack, your rebuild times, and your failure domains are ready for a quarter petabyte behind a single drive connector.

The post Best Enterprise SSDs in 2026: Lab-Tested Leaderboard appeared first on StorageReview.com.

Updated August 14, 2026: Initial publication. Prices noted are as-tested, single-unit prices at review time; volume pricing differs, and this market moves quickly.

Every laptop ranked here has been through the StorageReview lab. Business laptops get judged on a different rubric than consumer machines: manageability, firmware security, serviceability, and battery endurance count alongside benchmark speed, and every system on this page was tested on all of it. Nothing is ranked from a spec sheet, and every pick links to the review holding the data.

The 2026 field is the strongest we have covered. Two machines cleared 26 hours of measured battery life, all three silicon vendors (Intel, AMD, and Qualcomm) now ship credible business platforms, and every current system carries an NPU. The picks below cover the seven roles corporate buyers actually hire laptops for.

At a Glance

Category	System	Platform	Standout Result	Full Review
Best Overall Business Laptop	Dell Pro 7 14 Intel	Core Ultra 7 366H, 64GB, vPro	PCMark 10 of 8,438 with 26 hr 18 min of battery at 2.80 lb	Pro 7 14 Intel Review
Best Battery Life	Dell Pro 5 14 Intel	Core Ultra X7 368H, Arc B390, 64GB LPCAMM2	26 hr 48 min, the longest laptop battery life we have measured	Pro 5 14 Intel Review
Best 2-in-1	HP EliteBook X Flip G1i	Core Ultra 7 258V, 32GB	24 hr 34 min, the longest convertible battery result in our lab	EliteBook X G1i Review
Best 16-inch	Dell Pro 5 16 AMD	Ryzen AI 9 HX PRO 470, 64GB SODIMM	103.9 GIPS in 7-Zip, the strongest sustained CPU in the field	Pro 5 16 AMD Review
Best AMD Business Laptop	HP EliteBook X G1a	Ryzen AI 9 HX 375, 64GB	Cinebench R23 multi-core of 21,013 with a 2.8K OLED touch display	EliteBook X G1a Review
Best Executive Thin-and-Light	Dell Pro 14 Premium	Core Ultra 7 268V, 32GB	2.52 lb with a Tandem OLED QHD+ panel and 13 hr 55 min of battery	Pro 14 Premium Review
Best ARM Business Laptop	HP EliteBook 6 G1q	Snapdragon X Plus, 45 TOPS NPU, 32GB	19 hr 35 min of battery at 3.17 lb	EliteBook 6 G1q Review

The Picks

Best Overall Business Laptop: Dell Pro 7 14 Intel

The Pro 7 14 Intel posted the highest PCMark 10 overall score of any business laptop through our lab at 8,438, and it did it in Dell’s thinnest Pro chassis at 2.80 pounds with 26 hours 18 minutes of measured battery life. The Core Ultra 7 366H and 64GB of LPDDR5x keep productivity workloads quick (Geekbench 6 multi-core of 16,787), and the Gen5 SSD turned in 8.4GB/s reads in Blackmagic.

The manageability column is fully checked: Intel vPro with AMT, Hardware Shield, Dell SafeBIOS, and testing beyond standard MIL-STD requirements. Our review’s one caution is that it trades sustained CPU performance for portability, so heavy compile or render jobs belong on a bigger machine. It listed at $5,600 single-unit as tested at review time.

Review: Dell Pro 7 14 Intel Review: 26 Hours of Battery in Dell’s Thinnest Pro Laptop

Best Battery Life: Dell Pro 5 14 Intel

The Pro 5 14 Intel holds the longest battery result we have ever measured in a laptop, 26 hours 48 minutes in PCMark 10 Modern Office, and it tops our Laptop Battery Life Leaderboard outright. It is no efficiency-only machine either: the Core Ultra X7 368H pairs with Arc B390 graphics that put up real GPU numbers (Blender Monster at 366.6 samples per minute), and 7-Zip hit 89.4 GIPS.

It is also the serviceable one: 64GB of LPCAMM2 memory is replaceable rather than soldered, and the Gen5 SSD is user-accessible. With vPro, FIPS 140-3 TPM, ControlVault 3+, and quantum-resistant BIOS verification, this is the fleet machine that runs three shifts. $5,492 single-unit as tested at review time.

Review: Dell Pro 5 14 Intel Review

Best 2-in-1: HP EliteBook X Flip G1i

The Flip G1i is the longest-running convertible we have tested at 24 hours 34 minutes, and its clamshell sibling, the EliteBook X G1i, is right behind at 23 hours 31 minutes. Lunar Lake’s Core Ultra 7 258V delivers strong single-core response (Geekbench 6 at 2,840) at very low power, and the 48 TOPS NPU qualifies the pair for Copilot+ features.

HP’s security story is the differentiator: a built-in Endpoint Security Controller, automatic threat isolation, remote locate and lock, and a three-year HP Wolf Pro Security license in the box. Base pricing at review was $1,499 for the Flip, which made it one of the most accessible machines on this page.

Review: HP EliteBook X G1i and Flip G1i Review

Best 16-inch: Dell Pro 5 16 AMD

For desk-first buyers, the Pro 5 16 AMD is the strongest sustained performer here: 103.9 GIPS in 7-Zip and a Cinebench R23 multi-core of 18,764, both the best in this field, from the Ryzen AI 9 HX PRO 470. The 16-inch WQXGA panel at 500 nits brings a dedicated numeric keypad, and 64GB of standard SODIMM memory keeps upgrades cheap.

Battery is still respectable at 15 hours 22 minutes, and AMD PRO manageability plus Dell SafeBIOS and SafeID cover the IT checklist. Our review called it the best fit for buyers who want a larger screen and stronger performance during long CPU-heavy workloads, and the data backs that up. $4,648 single-unit as tested at review time.

Review: Dell Pro 5 16 AMD Review

Best AMD Business Laptop: HP EliteBook X G1a

The EliteBook X G1a is the strongest 14-inch AMD machine we have tested in this class: its Ryzen AI 9 HX 375 posted a Cinebench R23 multi-core of 21,013, the best multi-core number on this page, alongside a 55 TOPS NPU and 64GB of memory. The 2880×1800 OLED touch display is the nicest panel in the field, and the whole package starts at 3.3 pounds.

Battery lands mid-pack at 10 hours 48 minutes, the tradeoff for that OLED and sustained CPU headroom. HP Wolf Pro Security Edition and a full Windows Hello stack cover the business requirements. At $2,749 as tested at review time, it undercut most of this page while outrunning it in multi-core work.

Review: HP EliteBook X G1a Review

Best Executive Thin-and-Light: Dell Pro 14 Premium

The Pro 14 Premium is the boardroom pick: 2.52 pounds in its lightest configuration, a Tandem OLED QHD+ display, and enough performance to stay out of the way, with a PCMark 10 overall of 7,175 and 13 hours 55 minutes of battery. Lunar Lake’s Core Ultra 7 268V favors responsiveness and efficiency over sustained grunt, which matches how executive machines actually get used.

vPro Enterprise support keeps it manageable in the fleet. Our review positioned it as a direct alternative to Lenovo’s ThinkPad X9 14 Aura Edition, and notably, the Dell keeps the business features the Lenovo dropped. Around $2,500 as tested at review time.

Review: Dell Pro 14 Premium Review: High-End Performance Meets Executive Style

Best ARM Business Laptop: HP EliteBook 6 G1q

The EliteBook 6 G1q is the ARM option that finally makes business sense: 19 hours 35 minutes of battery from a 3.17-pound chassis, with the Snapdragon X Plus turning in a Geekbench 6 multi-core of 11,408. Its 45 TOPS Hexagon NPU also earned it the Best Thin-and-Light NPU System spot on our Best Laptops for Local AI leaderboard, where it ran 3B and 4B models locally at usable speeds.

The considerations are the usual ARM ones: check your application compatibility list before a fleet rollout, and note that PCMark 10 does not run on this platform, so cross-fleet comparison leans on Geekbench and 7-Zip. HP Sure Click and Sure Sense cover endpoint security. About $3,100 as configured at review time.

Review: HP EliteBook 6 G1q Review: All-Day Power in a Lightweight Laptop

Also Tested

These systems went through the same lab process. Some sit just outside our trailing two-year data window, and some fall short of a category spot for reasons the reviews spell out.

• Dell Pro 7 14 AMD: the portable AMD PRO option at 2.80 pounds with 19 hours 28 minutes of battery; edged out here by the EliteBook X G1a’s multi-core lead and lower price.
• Dell Pro Rugged 14: MIL-STD-810H and IP53 in a semi-rugged chassis with an 1,100-nit display; it skips our standard battery test, so it is not ranked, but it is the field-work answer in this lineup.
• Lenovo ThinkPad X9 14 Aura Edition: a sleek 15 hour 10 minute OLED machine, but our review found it reads as a consumer laptop; no vPro, SmartCard, or WWAN options.
• HP EliteBook 1040 G11: our former top pick for a high-end 14-inch business laptop (22 hours 8 minutes of battery); its August 2024 review has now aged past our two-year data window.
• Lenovo ThinkPad X1 Carbon Gen 12: the 2.42-pound benchmark for premium business ultralights; July 2024 review, now outside the data window.
• Lenovo ThinkPad X1 2-in-1 Gen 9: our previous convertible recommendation with ThinkShield and MIL-SPEC 810H; July 2024 review, now outside the data window.
• Dell Latitude 7450 Ultralight: 2.33 pounds, the lightest business laptop we have tested, with noted chassis flex; July 2024 review, now outside the data window.

How We Rank

Every laptop on this page ran the same lab suite: PCMark 10 for overall productivity, Geekbench 6, Cinebench, 7-Zip, and y-cruncher for compute, storage benchmarks on the shipping SSD, and PCMark 10 Modern Office for battery, measured to shutdown. Business qualification matters as much as speed: we weight manageability platforms (Intel vPro, AMD PRO), firmware security, and serviceability alongside the numbers, and machines without those features do not rank here regardless of performance.

Rankings draw on a trailing two-year window of reviews so the field reflects current silicon; older systems move to Also Tested with their review dates noted. Prices move quickly, so any dollar figure here is the as-tested, single-unit price at review time, which is also not what volume buyers pay. We do not make value claims without checking current vendor configurator pricing, and when we do, we date the check.

Business Laptop FAQ

What is the best business laptop in 2026?

The Dell Pro 7 14 Intel is our Best Overall pick: the highest PCMark 10 score we have measured in a business laptop (8,438), 26 hours 18 minutes of battery, and a full vPro and SafeBIOS manageability stack at 2.80 pounds. If battery is the priority, its sibling Pro 5 14 Intel runs 30 minutes longer and adds replaceable memory; if sustained CPU work is the priority, the Dell Pro 5 16 AMD leads the field.

What actually makes a laptop a business laptop?

Manageability and security, not the badge. Fleet tools like Intel vPro with AMT or AMD PRO with DASH let IT departments deploy, patch, and remotely disable machines at scale; firmware protections like Dell SafeBIOS and HP’s Endpoint Security Controller guard the boot chain; and TPM 2.0, smart card, and WWAN options round out the checklist. Lenovo’s ThinkPad X9 14 is the cautionary example: a fine laptop our review ultimately classified as consumer because it dropped those features.

Which business laptop has the longest battery life?

The Dell Pro 5 14 Intel, at 26 hours 48 minutes in PCMark 10 Modern Office, the longest laptop battery result in StorageReview lab history. Business machines dominate our Laptop Battery Life Leaderboard generally: efficiency-first silicon and big batteries are what corporate buyers reward.

Intel, AMD, or Snapdragon for a business fleet?

All three now field credible options, which was not true two years ago. Intel brings the deepest vPro management install base and, in Lunar Lake and the Core Ultra Series 3, exceptional battery results. AMD PRO machines counter with multi-core throughput (the two Ryzen AI 9 HX systems here post the best Cinebench numbers on the page). Snapdragon delivers the best performance-per-watt in the thin-and-light class, with the standard caveat of app-compatibility validation before rollout.

Can business laptops run local AI?

Increasingly, yes. Every 2025-2026 machine on this page carries an NPU between 45 and 55 TOPS, enough for Copilot+ features and small local models, and the EliteBook 6 G1q crosses over to our Best Laptops for Local AI leaderboard outright. For larger models you want discrete GPU or big unified memory machines, which that page covers in depth.

The post Best Business Laptops in 2026: Lab-Tested Leaderboard appeared first on StorageReview.com.

Updated August 14, 2026: Dell Pro Precision 7 16 Intel added to Also Tested following its review. Originally published earlier today. Prices noted are as tested at review time; this market moves quickly, so check vendor configurators before buying.

Every laptop ranked here has been through the StorageReview lab. We measure local AI performance directly: UL Procyon AI Text Generation runs the same models on every system that can hold them, and where the hardware warrants we go deeper with LM Studio and Ollama. Nothing on this page is ranked from a spec sheet, and every pick links to the review holding the data.

There are two roads to running AI models on a laptop in 2026. Discrete NVIDIA RTX PRO GPUs deliver the fastest tokens per second, but the model has to fit inside the card’s VRAM, 8GB to 24GB across this field. Unified and shared memory designs, led by AMD’s Ryzen AI Max+ (Strix Halo) and Intel’s Core Ultra shared LPCAMM2 platforms, trade raw speed for capacity: the GPU can borrow most of system memory, so far larger models load at all. The picks below cover both roads, plus the NPU-first efficiency class.

At a Glance

Category	System	AI Engine	Standout Result	Full Review
Best Overall Laptop for Local AI	Dell Pro Max 18 Plus	RTX PRO 5000 Blackwell 24GB / 128GB CAMM2	185 tok/s (Phi, Procyon), fastest laptop we have tested	Pro Max 18 Plus Review
Best for Large Models	HP ZBook Ultra G1a 14	Ryzen AI Max+ PRO 395, up to 96GB assignable unified memory	Loaded DeepSeek-R1 70B; Gemma 3 27B at 9 tok/s	ZBook Ultra G1a Review
Best 16-inch Balance	Dell Pro Max 16 Plus	RTX PRO 5000 Blackwell 24GB / 128GB CAMM2	179 tok/s (Phi) with 6 hr 21 min of battery	Pro Max 16 Plus Review
Best Ultraportable	Lenovo ThinkPad P14s Gen 7	RTX PRO 1000 Blackwell 8GB / 64GB LPCAMM2	55 tok/s (Phi) at 3.59 lb	P14s Gen 7 Review
Best Without a Discrete GPU	Dell Pro Precision 5 14s Intel	Intel Arc Pro B390 iGPU, 64GB shared LPCAMM2	Ran models that exceed 8GB VRAM, 23 hr 50 min of battery	Pro Precision 5 14s Review
Best Thin-and-Light NPU System	HP EliteBook 6 G1q	Snapdragon X Plus, 45 TOPS Hexagon NPU, 32GB	Llama 3.2 3B at 37 tok/s in LM Studio	EliteBook 6 G1q Review

The Picks

Best Overall Laptop for Local AI: Dell Pro Max 18 Plus

The Pro Max 18 Plus posted the fastest local AI numbers of any laptop through the StorageReview lab. In UL Procyon AI Text Generation, its RTX PRO 5000 Blackwell (24GB GDDR7) pushed Phi to 185.1 tokens per second, Mistral to 140.5, and Llama 3 to 119.7, with time to first token under 0.35 seconds on every model. The Core Ultra 9 285HX and 128GB of CAMM2 memory keep the rest of the pipeline out of the way, and the 24GB of VRAM comfortably holds 20B-class quantized models.

The tradeoffs are exactly what the chassis suggests: 7.17 pounds and 3 hours 39 minutes of measured battery life, the shortest runtime in our laptop dataset. This is a deskside machine that happens to fold. It listed at $9,245 as tested at review time. If local inference speed is the whole question, this is the answer.

Review: Dell Pro Max 18 Plus: Blackwell RTX PRO 5000 Performance To Go

Best for Large Models: HP ZBook Ultra G1a 14

Speed is one axis; capacity is the other. The ZBook Ultra G1a pairs AMD’s Ryzen AI Max+ PRO 395 with 128GB of LPDDR5X unified memory, up to 96GB of it assignable to the Radeon 8060S GPU. That pool let us load models no discrete-GPU laptop can touch: DeepSeek-R1 70B and QwQ 32B both ran locally in LM Studio and Ollama, and Gemma 3 27B generated at 8.96 tokens per second with prompt processing at 73 tokens per second.

Its Procyon numbers trail every RTX PRO machine here (Phi at 65 tokens per second), so this is not the pick for fast chat on small models. It is the pick when the model itself is the point, and it does that at 3.3 pounds with 10 hours 35 minutes of battery. This is the same unified-memory story AMD’s Strix Halo tells on our desktop side, folded into a 14-inch chassis.

Review: HP ZBook Ultra G1a 14 Review

Best 16-inch Balance: Dell Pro Max 16 Plus

The Pro Max 16 Plus runs the same RTX PRO 5000 Blackwell 24GB as the 18 Plus and gives up almost nothing: Phi at 178.6 tokens per second, Mistral at 134.2, Llama 3 at 114.7, roughly 96 percent of the flagship’s throughput. In exchange it starts at 5.63 pounds instead of 7.17 and nearly doubles the battery result at 6 hours 21 minutes.

For most people who want serious local inference in a bag, this is the better buy of the two. It also holds the Best Overall Mobile Workstation spot on our Best Mobile Workstations leaderboard, so the AI speed comes with the full professional application stack already validated.

Review: Dell Pro Max 16 Plus Review: Built for Long Days and Big Jobs

Best Ultraportable: Lenovo ThinkPad P14s Gen 7

At 3.59 pounds, the P14s Gen 7 is the lightest laptop here with a discrete Blackwell GPU. The RTX PRO 1000 (8GB GDDR7) turned in Phi at 55.1 tokens per second and Mistral at 40.3, real interactive speeds for 7B-class models, and Panther Lake’s 50 TOPS NPU makes it a Copilot+ machine. The battery result of 15 hours 52 minutes means the AI capability does not cost you the workday.

Know the ceiling before you buy: our Llama 2 13B run did not finish because that model wants about 12GB of graphics memory through the Procyon path and the GPU has 8GB. For 7B-and-under quantized models this is a terrific carry; for bigger ones, look up the page.

Review: Lenovo ThinkPad P14s Gen 7 Review

Best Without a Discrete GPU: Dell Pro Precision 5 14s Intel

No discrete GPU, no problem, within reason. The Pro Precision 5 14s Intel pairs the Core Ultra X9 388H (50 TOPS NPU) with Intel Arc Pro B390 integrated graphics drawing on a 64GB LPCAMM2 shared memory pool. In our testing that pool ran larger local AI workloads than 8GB discrete cards could hold, completing the full Procyon AI Text Generation suite (scores of 887 on Phi and 786 on Llama 2) where VRAM-limited systems posted DNFs.

Generation speed is modest next to RTX PRO silicon, so treat it as a capable background assistant rather than a speed demon. The rest of the package is remarkable: 3.12 pounds and 23 hours 50 minutes of measured battery, second-longest in our entire dataset. It also holds the Best Ultraportable Workstation spot on our Best Mobile Workstations board.

Review: Dell Pro Precision 5 14s Intel Review

Best Thin-and-Light NPU System: HP EliteBook 6 G1q

The EliteBook 6 G1q answers a different question: how little machine do you need for useful on-device AI? Its Snapdragon X Plus with a 45 TOPS Hexagon NPU ran Llama 3.2 3B at 36.7 tokens per second and Gemma 3 4B at 29.3 in LM Studio, with 1B models topping 62 tokens per second. Those are usable chat speeds from a 3.17-pound machine that measured 19 hours 35 minutes of battery.

The ceiling is low, 4B parameters was the largest model we tested, so this is for local chat, summarization, and offline assistants rather than heavy models. At around $3,100 as configured at review, it was also the least expensive system on this page.

Review: HP EliteBook 6 G1q Review: All-Day Power in a Lightweight Laptop

Also Tested

These systems went through the same lab process and are worth a look for the right buyer, even though they do not hold a category spot today.

• Lenovo ThinkPad P16 Gen 3: the third RTX PRO 5000 machine in the fleet (Phi at 141.2 tok/s); our unit shipped with 32GB of RAM, which held back the rest of the workflow story.
• HP ZBook Fury G1i 18: same 24GB Blackwell GPU class as the Pro Max 18 Plus, a step behind on throughput (Phi at 157.4 tok/s) and $11,687 as tested at review.
• Dell Pro Precision 7 16 Intel: RTX PRO 3000 Blackwell with 12GB of VRAM, the strongest midrange GPU result in this field (Procyon text generation score of 2,244 on Phi via DirectML); its 12GB opens the 14B class that 8GB cards cannot hold.
• Lenovo ThinkPad P1 Gen 8: RTX PRO 2000 8GB in a 4.06-pound chassis with 12 hours 59 minutes of battery; Phi at 77.3 tok/s.
• Dell Pro Max 14 Premium: RTX PRO 2000 8GB at 3.55 pounds; Phi at 54.1 tok/s.
• Dell Pro Max 16 (Ryzen): RTX PRO 1000 8GB with a 16 hour 2 minute battery result; Phi at 61.9 tok/s.
• Lenovo ThinkPad P14s Gen 6: RTX PRO 500 6GB; entry Blackwell AI at 45.7 tok/s on Phi.
• Dell Pro Precision 5 16s Intel: the 16-inch sibling of our no-dGPU pick on the same shared-memory platform, with the longest workstation battery we have measured at 24 hours 43 minutes.
• Dell Pro Precision 5 14s AMD: 60 TOPS NPU and a 64GB shared pool; AMD’s Procyon INT8 image path was not yet available at test time, which limits comparison.
• HP EliteBook X G1a: Ryzen AI 9 HX 375 with a 55 TOPS NPU; we have not yet run our LLM suite on it.

How We Rank

UL Procyon AI Text Generation is our cross-fleet yardstick: the same four models (Phi, Mistral, Llama 3, and Llama 2 where it fits) on every laptop that can hold them, so tokens-per-second numbers here are directly comparable. Where the hardware makes it interesting, we go deeper with LM Studio and Ollama runs on larger models. Each laptop is ranked once per measurement basis, and a system only appears on this page if it produced usable local AI results in our lab.

Prices move quickly in this market, so any dollar figure on this page is the as-tested price at the time the review published. We do not make value claims without checking current vendor configurator pricing, and when we do, we date the check.

Laptop Local AI FAQ

What matters more for local AI on a laptop, VRAM or total memory?

Both, for different reasons. A model must fit in the memory the GPU can reach: on discrete cards that is VRAM (8GB to 24GB in this field), and our Llama 2 13B run DNF’d on 8GB cards because it wanted about 12GB. Unified and shared memory designs flip the equation: AMD’s Ryzen AI Max+ can assign up to 96GB of system RAM to the GPU, and Intel’s shared LPCAMM2 pools reach 64GB, so far larger models load at all, just at lower speeds. Fit determines whether a model runs; the silicon determines how fast.

What is the largest model StorageReview has run on a laptop?

DeepSeek-R1 70B, loaded locally on the HP ZBook Ultra G1a 14 through its 96GB assignable unified memory pool. For sustained generation we measured Gemma 3 27B at 8.96 tokens per second on the same machine. On our desktop side the bar is higher; the Best Desktops for Local AI leaderboard covers systems that serve much larger models.

Do NPU TOPS ratings matter for running LLMs?

Less than the marketing suggests, today. Most local LLM runtimes lean on the GPU, and every tokens-per-second number on this page came from GPU inference except the Snapdragon EliteBook, where the platform’s AI stack is the point. NPUs currently earn their keep on efficiency and on INT8 image generation paths, and they are why several of these machines qualify as Copilot+ PCs. Buy for the GPU and memory first.

What happens to battery life when you run models locally?

Inference is one of the heaviest sustained loads a laptop can run, so plan on wall power for real sessions. The battery numbers on this page are PCMark 10 Modern Office results, a productivity measure, and the spread is enormous: 3 hours 39 minutes on our fastest AI laptop versus nearly 24 hours on the shared-memory Dell. Our Laptop Battery Life Leaderboard ranks the full field.

Should I just buy a desktop for local AI instead?

If the machine will live on a desk, yes, probably. Deskside systems offer more memory per dollar, better sustained thermals, and no battery compromise; our Best Desktops for Local AI leaderboard starts at roughly the price of the midrange laptops here. The laptops on this page are for people whose AI workload has to travel.

The post Best Laptops for Local AI in 2026: Lab-Tested Leaderboard appeared first on StorageReview.com.

Updated August 14, 2026: Initial publication; pricing claims verified against vendor configurators August 14, 2026. Desktop workstations are ranked here on SPECworkstation, SPECviewperf, rendering, and compute results; several of these towers are ranked separately on our Best Desktops for Local AI page by inference throughput, because those are different questions answered by different data.

Every desktop workstation ranked on this page has been through the StorageReview lab. We benchmark the full professional stack: SPECworkstation, SPECviewperf viewsets, Blender and V-Ray rendering, LuxMark, y-cruncher, 7-Zip, and Geekbench, on configurations we disclose. No system is ranked from a spec sheet, and every pick links to the review holding the data.

The field runs wider than any other category we cover: from 1-liter systems that mount behind a monitor to a four-GPU tower that configured past $74,000 as tested. Class and form factor decide more than brand here, so the picks below are organized by what you can physically put on, under, or behind the desk.

At a Glance

Category	System	CPU / GPU (as tested)	GPUs (Tested / Max)	Full Review
Best Overall Desktop Workstation	HP Z8 Fury G6i	Xeon 696X / 2× RTX PRO 6000 Blackwell Max-Q	2 / 4 (up to 384GB VRAM)	Z8 Fury G6i Review
Best for CPU-Heavy Workloads	Dell Precision 7875	Threadripper PRO 9995WX / 2× RTX PRO 6000 Blackwell	2 / 2	Precision 7875 Review
Best Single-GPU Workstation	Dell Pro Max Tower T2	Core Ultra 9 285K / RTX PRO 6000 Blackwell 600W	1 / 2 on select configs	Pro Max Tower T2 Review
Best Mid-Range Tower	Lenovo ThinkStation P3 Tower Gen 2	Core Ultra 9 285 / RTX 5000 Ada	1 / 1	P3 Tower Gen 2 Review
Best Small Form Factor	Lenovo ThinkStation P3 Ultra SFF Gen 2	Core Ultra 9 285 / RTX 4000 SFF Ada	1 / 1	P3 Ultra SFF Gen 2 Review
Best Mini Workstation	HP Z2 Mini G1a	Ryzen AI Max+ PRO 395 / integrated Radeon 8060S	Integrated (fixed)	Z2 Mini G1a Review

The Picks

Best Overall Desktop Workstation: HP Z8 Fury G6i

No other workstation we have tested has this much headroom. The Z8 Fury G6i pairs Intel’s 64-core Xeon 696X with support for up to four RTX PRO 6000 Blackwell Max-Q cards and 384GB of aggregate VRAM, fed by dual power supplies. Our dual-GPU review build posted a SPECworkstation Graphics score of 11.17 and 7,351 samples per minute in Blender GPU rendering, and the chassis takes two more cards without modification. Configurations started around $7,900 at review time and our loaded review unit priced out at $74,878, which tells you exactly who this is for.

Read the full HP Z8 Fury G6i review

Best for CPU-Heavy Workloads: Dell Precision 7875

When the workload is core-bound, the 96-core Threadripper PRO 9995WX is the strongest silicon we have benchmarked in a workstation. In our head-to-head testing the 7875 out-rendered the Xeon-based Z8 Fury by 50 to 66 percent in Blender CPU workloads and led 3DMark CPU by 43 percent, posting 1,039 samples per minute in Blender Monster on the CPU alone. Dual RTX PRO 6000 Blackwell cards give it 192GB of VRAM, and the same machine holds the Best Tower for Local AI spot on our AI leaderboard by inference data. As our review put it, this is not a machine you buy speculatively.

Read the full Dell Precision 7875 review

Best Single-GPU Workstation: Dell Pro Max Tower T2

The most interesting result in this category: one full-power GPU beat two throttled ones. The T2’s single 600W RTX PRO 6000 Blackwell posted 8,025 samples per minute in Blender GPU rendering, ahead of both dual Max-Q Blackwell systems above it in this list. In a 32-liter mid-tower with a Core Ultra 9 285K, it is also the value entry into the current-generation field: Dell’s configurator starts at $1,474 (verified August 14, 2026), while our loaded review unit came to $12,713 at review time. If your renderer does not scale across cards, this is the smarter buy than a multi-GPU flagship.

Read the full Dell Pro Max Tower T2 review

Best Mid-Range Tower: Lenovo ThinkStation P3 Tower Gen 2

At $7,939 as tested, the P3 Tower Gen 2 is the clean answer for professional workloads that do not need HEDT silicon. The Core Ultra 9 285 with an RTX 5000 Ada delivered 30,760 in Cinebench R23 multi-core and 3,884 samples per minute in Blender GPU, and in our testing it beat Lenovo’s own Xeon-based ThinkStation PX in AI inference, GPU rendering, and single-core work. Our review framed it as bridging high-end performance and affordability, and the benchmark spread supports that.

Read the full ThinkStation P3 Tower Gen 2 review

Best Small Form Factor: Lenovo ThinkStation P3 Ultra SFF Gen 2

A 24-core Core Ultra 9 and an RTX 4000 SFF Ada in under four liters. The P3 Ultra SFF Gen 2 posted a Geekbench 6 multi-core of 20,334 and beat its own full-tower sibling in CPU-bound tests like Blender CPU and y-cruncher, at 4,128 dollars as tested. Its GPU ceiling is the honest trade: the 70W RTX 4000 SFF renders at less than half the rate of the Tower’s RTX 5000 Ada. For desk-constrained professional work, it is the best balance we have measured.

Read the full P3 Ultra SFF Gen 2 review

Best Mini Workstation: HP Z2 Mini G1a

The Z2 Mini G1a earned our Editor’s Choice award, and the numbers explain why. AMD’s 16-core Ryzen AI Max+ PRO 395 posted 37,156 in Cinebench R23 multi-core, the strongest desktop-class CPU result in this group, from a 2.8-liter chassis with no discrete GPU at all. Its 128GB unified memory pool also earned it the Best Without a Discrete GPU spot on our Local AI leaderboard, making it the rare system that leads two categories for two different reasons.

Read the full HP Z2 Mini G1a review

Also Tested

These systems have been through the same lab process and are solid choices that did not take a category slot: the Lenovo ThinkStation P8 (its 112,974 Cinebench R23 multi-core remains the highest we have ever recorded in a workstation, on the prior-generation Threadripper PRO 7995WX), the HP Z6 G5 A (our top tower pick of 2023, still formidable but two GPU generations back), the original Dell Precision 7875 (the 2024 dual RTX 6000 Ada build, since superseded by the Blackwell configuration above), the ThinkStation P3 Ultra Gen 1 ($985 base, still a strong compact value), the ThinkStation P3 Tiny Gen 2 (a true 1-liter workstation that hits, per our review, a very attractive balance of size, performance, and serviceability), and the P3 Tiny Gen 1 (from $799, the budget entry into workstation-class tiny PCs), and the Dell Precision 3680 (our 2024 value standout at a $1,029 base; it has since left Dell’s current lineup and now sells mainly through reseller and refurbished channels, so we no longer make the value claim for it).

How We Rank

Three rules govern every StorageReview leaderboard. First, only lab-tested systems are ranked; anything we have not benchmarked can be mentioned, but it cannot hold a category. Second, systems are ranked once per measurement basis: several towers here also appear on our Best Desktops for Local AI page, ranked there by vLLM inference throughput and memory ceiling, ranked here by SPEC, rendering, and compute results. Different question, different data, sometimes a different winner. Third, rankings derive from our standardized suite plus street price, with editorial judgment breaking ties inside scoring bands. A note on pricing: workstation prices move constantly, so as-tested figures are labeled as review-time numbers, and any value claim on this page is checked against the vendor’s configurator on the date in the changelog above. Vendors do not see rankings before publication, and no placement is paid.

Desktop Workstation FAQ

What is the best desktop workstation in 2026?

For maximum capability, the HP Z8 Fury G6i: no other chassis we have tested scales to four RTX PRO 6000 Blackwell GPUs and 384GB of VRAM. For core-bound work, the 96-core Dell Precision 7875 posted the strongest CPU rendering results we have measured. For most professional workloads at rational budgets, the Dell Pro Max Tower T2 and Lenovo P3 Tower Gen 2 cover the single-GPU middle of the market.

Do more GPUs mean faster rendering?

Not automatically, and our data makes the case: the Pro Max Tower T2’s single 600W RTX PRO 6000 rendered 8,025 samples per minute in Blender, beating dual Max-Q configurations of the same silicon in the Z8 Fury (7,351) and Precision 7875 (7,259). Density-optimized Max-Q cards trade clocks for thermals, and not every renderer scales cleanly across cards. Multi-GPU wins on capacity, memory pool, and parallel batch work; a single full-power card often wins a single job.

Threadripper PRO or Xeon?

Our Z8 Fury and Precision 7875 head-to-head is the current answer: Threadripper PRO 9995WX won Blender CPU rendering by 50 to 66 percent and 3DMark CPU by 43 percent, while the Xeon 696X platform won 7-Zip by 38 percent, small-model inference, and PCIe-bound multi-GPU scaling. Pick by workload, not by badge.

How much does a desktop workstation cost?

Treat exact figures as moving targets; these are the patterns from our review history, with as-tested prices reflecting their review dates. The tested field spans a $799-base 1-liter ThinkStation P3 Tiny (2024) to a $74,878 as-tested Z8 Fury G6i (2026). Verified today: the Dell Pro Max Tower T2 configurator opens at $1,474 (August 14, 2026). Broadly, serious single-GPU builds have landed between $4,000 and $13,000 as tested, and multi-GPU flagship configurations run $30,000 and up, with prices trending higher across the industry.

The post Best Desktop Workstations in 2026: Lab-Tested Leaderboard appeared first on StorageReview.com.

Updated August 14, 2026: Dell Pro Precision 7 16 Intel added to Also Tested following its review. Originally published earlier today. In the lab now: additional current-generation mobile workstations as review units land. Battery data on this page cross-references our Laptop Battery Life Leaderboard.

Every mobile workstation ranked on this page has been through the StorageReview lab. We benchmark the full professional stack: SPECworkstation 4.0, SPECviewperf 15 viewsets, Blender rendering, UL Procyon AI, LuxMark, and a PCMark 10 Modern Office battery rundown on every unit. No system is ranked from a spec sheet, and every pick links to the review holding the data.

The defining split in 2026 is that a mobile workstation no longer requires a discrete GPU. Dell's Pro Precision 5 series delivers ISV-certified workstation graphics from integrated silicon while posting the best battery numbers we have ever measured in the class, and RTX PRO 5000 desktop-replacements own the other end of the spectrum with near-desktop rendering throughput at three times the weight. This page ranks both, by what each is actually for.

At a Glance

Category	System	CPU / GPU (as tested)	Weight	Full Review
Best Overall Mobile Workstation	Dell Pro Max 16 Plus	Core Ultra 9 285HX / RTX PRO 5000 24GB	5.63 lb	Pro Max 16 Plus Review
Best Desktop Replacement (18-inch)	Dell Pro Max 18 Plus	Core Ultra 9 285HX / RTX PRO 5000 24GB	7.17 lb	Pro Max 18 Plus Review
Best Ultraportable Workstation	Dell Pro Precision 5 14s Intel	Core Ultra X7 / Arc Pro B390 integrated	3.12 lb	Pro Precision 5 14s Intel Review
Best 14-inch with a Discrete GPU	Lenovo ThinkPad P14s Gen 7	Core Ultra 7 366H / RTX PRO 1000 8GB	3.59 lb	ThinkPad P14s Gen 7 Review
Best Premium Thin-and-Light	Lenovo ThinkPad P1 Gen 8	Core Ultra 7 255H / RTX PRO 2000 8GB	4.06 lb	ThinkPad P1 Gen 8 Review
Best Value	Dell Pro Max 16 (AMD)	Ryzen AI 9 HX 370 / RTX PRO 1000	4.59 lb	Pro Max 16 Review
Best Battery Life	Dell Pro Precision 5 16s Intel	Core Ultra X7 / Arc Pro B390 integrated	4.20 lb	Pro Precision 5 16s Intel Review

The Picks

Best Overall Mobile Workstation: Dell Pro Max 16 Plus

The Pro Max 16 Plus delivers desktop-replacement performance without desktop-replacement weight. Its 175W RTX PRO 5000 pushed Blender GPU rendering to 3,875 samples per minute and posted a SPECworkstation AI and ML score of 2.49, matching its own 18-inch sibling while weighing a pound and a half less and lasting nearly three hours longer on battery. Our review called it a new benchmark for 16-inch mobile workstations, and the numbers back the sentiment. Configurations run from $2,779 to roughly $8,900 as tested.

Read the full Dell Pro Max 16 Plus review

Best Desktop Replacement: Dell Pro Max 18 Plus

If raw throughput is the requirement, this is the fastest mobile workstation we have benchmarked. In an identical-silicon shootout against the HP ZBook Fury G1i 18, the Pro Max 18 Plus won nearly every benchmark we ran: SPECviewperf across all ten viewsets (solidworks-08 at 145.56, a 31 percent lead), Blender GPU at 3,928 samples per minute, plus LuxMark, V-Ray, and Geekbench multi-core. The trade is battery life, at 3 hr 39 min the shortest we have ever measured. Know what you are buying: a desk-to-desk machine at 7.17 pounds, from $3,488 to $9,245 as tested.

Read the full Dell Pro Max 18 Plus review

Best Ultraportable Workstation: Dell Pro Precision 5 14s Intel

The strongest 14-inch productivity system we have reviewed, and it does it without a discrete GPU. The 5 14s Intel was the first laptop in its group to cross 10,000 points in SPECworkstation 4, with a Digital Content Creation score of 14,147 that ran 23 percent ahead of the ThinkPad P14s Gen 7, and it still delivered 23 hr 50 min of battery, fifth on our battery leaderboard. ISV-certified graphics from Intel's Arc Pro B390 integrated silicon make it a real workstation at 3.12 pounds, from $2,228.

Read the full Pro Precision 5 14s Intel review

Best 14-inch with a Discrete GPU: Lenovo ThinkPad P14s Gen 7

When the workload demands CUDA, this is the smallest system that carries it well. The RTX PRO 1000 swept the SPECviewperf table against every integrated-graphics rival, Cinebench 2024 multicore came in 64 percent ahead of the comparable Dell, and the whole package runs 15 hr 52 min on battery at 3.59 pounds, four hours longer than its predecessor.

Read the full ThinkPad P14s Gen 7 review

Best Premium Thin-and-Light: Lenovo ThinkPad P1 Gen 8

The P1 Gen 8 remains the premier choice for workstation power that travels like an ultrabook. A 3.2K Tandem OLED touch display, RTX PRO 2000 graphics that scored 31.52 in the 3ds Max viewset (nearly four times the integrated competition), and 12 hr 59 min of battery in a 4.06-pound chassis. At roughly $4,169 it is priced like the engineering exercise it is, and our review judged the expense justified.

Read the full ThinkPad P1 Gen 8 review

Best Value: Dell Pro Max 16 (AMD)

The value math in this class starts at $1,349, and the tested config holds its own at less than half the flagship price. The Ryzen AI 9 HX 370 with RTX PRO 1000 delivered performance comparable to Intel H-class premium models in our testing, and its 16 hr 2 min battery result is the longest we have measured in any laptop carrying a discrete GPU.

Read the full Dell Pro Max 16 review

Best Battery Life: Dell Pro Precision 5 16s Intel

24 hr 43 min, the longest runtime we have ever recorded in a workstation. The 5 16s Intel also posted the best Cinebench 2026 single-thread score we have measured from any laptop at 535, and led its comparison group in SPECworkstation at 9,994 overall, 12 percent ahead of a far more expensive discrete-GPU stablemate. It holds the workstation battery record on our Laptop Battery Life Leaderboard.

Read the full Pro Precision 5 16s Intel review

Also Tested

These systems have been through the same lab process and are solid choices that did not take a category slot: the Lenovo ThinkPad P16 Gen 3 (RTX PRO 5000 in a 16-inch chassis, consistently in the same performance tier as the winners), ThinkPad P16v Gen 3 (the balanced 4.6-pound middle ground), ThinkPad P16s Gen 4 (its Ultra 7 outruns pricier silicon in 7-Zip), ThinkPad P14s Gen 6 (last year's 14-inch pick, still strong viewport performance), Dell Pro Max 16 Premium and Pro Max 14 Premium (premium OLED builds that trade benchmark ceilings for refinement), Dell Pro Precision 5 14s AMD (24 threads at 3.08 pounds, the R23 multicore leader in its group), the HP ZBook Fury G1i 18 (loses the benchmark race to the Pro Max 18 Plus but wins on battery, serviceability, and four M.2 bays), and the HP ZBook Ultra G1a (exceptional CPU compute from Strix Halo, though our review found its AI performance did not meet the marketing), and the Dell Pro Precision 7 16 Intel (RTX PRO 3000 Blackwell under a 4K Tandem OLED with Thunderbolt 5; big GPU gains over the 5 16s, though CPU-heavy work and battery favor its cheaper sibling).

How We Rank

Three rules govern every StorageReview leaderboard. First, only lab-tested systems are ranked; anything we have not benchmarked can be mentioned, but it cannot hold a category. Second, systems are ranked once per measurement basis: battery endurance is ranked on our Laptop Battery Life Leaderboard and referenced here, and local AI capability will be ranked separately on our upcoming Best Laptops for Local AI page. Third, rankings derive from our standardized suite (SPECworkstation 4.0, SPECviewperf 15, Blender, Procyon AI, PCMark 10) plus street price, with editorial judgment breaking ties inside scoring bands. Vendors do not see rankings before publication, and no placement is paid.

Mobile Workstation FAQ

What is the best mobile workstation in 2026?

For most professionals, the Dell Pro Max 16 Plus: RTX PRO 5000 performance that matches 18-inch desktop replacements in our benchmarks, at 5.63 pounds and with usable battery life. If maximum throughput outranks portability, the Pro Max 18 Plus is the fastest system we have tested; if portability outranks everything, the Pro Precision 5 14s Intel is the strongest 14-inch system we have reviewed.

Do I still need a discrete GPU in a workstation laptop?

Less than you used to. Dell's Pro Precision 5 series carries ISV-certified drivers on integrated graphics and won seven of eleven SPECviewperf viewsets against AMD's best integrated silicon in our testing, while doubling the battery life of comparable discrete systems. The line still matters for CUDA-dependent work and heavy rendering, where an RTX PRO system sweeps the table; the difference is that skipping the dGPU no longer means leaving the workstation category.

Why do the 18-inch desktop replacements rank low on battery?

Because they are portable between desks, not between meetings. The two 18-inch systems we have tested, the Pro Max 18 Plus and ZBook Fury G1i, hold the two shortest runtimes on our battery leaderboard at 3 hr 39 min and 4 hr 48 min while holding the two highest sustained-performance results in this class. That is the trade, and it is the right one for their buyers.

How much does a good mobile workstation cost?

The field we tested spans $1,349 for an entry Pro Max 16 AMD to $11,687 for a maxed ZBook Fury G1i 18. The broad pattern in our data: strong integrated-graphics workstations start around $2,200, discrete RTX PRO 1000-class systems land in the $3,000 to $5,000 range as tested, and RTX PRO 5000 desktop-replacements run $8,000 and up in review configurations.

The post Best Mobile Workstations in 2026: Lab-Tested Leaderboard appeared first on StorageReview.com.

Updated August 14, 2026: Dell Pro Precision 7 16 Intel enters at #19 with 11 hr 43 min; the HP ZBook Ultra G1a 14 rotates off at the 20-system cap. New results are added as laptop reviews publish, and each entry links to the full review behind the number.

Every runtime on this page was measured in the StorageReview lab using the PCMark 10 Modern Office battery rundown, which simulates a full day of document work, web browsing, and video conferencing until the battery gives out. Same test, same conditions, every laptop. Nothing here is a manufacturer claim.

Across two years of reviews we have measured everything from under 4 hours to nearly 27, and only the 20 longest-running systems make this page. Class matters more than battery size: the table below shows why a 70Wh business laptop can nearly quadruple the runtime of a 99Wh desktop-replacement workstation.

Battery Life Standouts

Category	System	Runtime
Longest runtime we have recorded	Dell Pro 5 14 Intel	26 hr 48 min
Longest in a mobile workstation	Dell Pro Precision 5 16s Intel	24 hr 43 min
Longest in a convertible	HP EliteBook X Flip G1i	24 hr 34 min
Longest with a discrete GPU	Dell Pro Max 16 (AMD)	16 hr 2 min

The full field below spans business laptops, mobile workstations, convertibles, and rugged tablets, ranked strictly by measured runtime.

The Picks

Best Overall Battery Life: Dell Pro 5 14 Intel

26 hr 48 min on PCMark 10 Modern Office from a 70Wh battery, the longest runtime we have ever recorded. Review: Dell Pro 5 14 Intel Review

Best Battery Life in a Thin Business Laptop: Dell Pro 7 14 Intel

26 hr 18 min, within half an hour of the leader, in Dell’s thinnest Pro chassis. Review: Dell Pro 7 14 Intel Review

Best Mobile Workstation Battery Life: Dell Pro Precision 5 16s Intel

24 hr 43 min, the only 16-inch mobile workstation we have measured past 24 hours. Review: Dell Pro Precision 5 16s Intel Review

Best Convertible Battery Life: HP EliteBook X Flip G1i

24 hr 34 min from a 68Wh battery, with a 360-degree hinge and pen support. Review: HP EliteBook X Flip G1i Review

Best Battery Life with a Discrete GPU: Dell Pro Max 16 (AMD)

16 hr 2 min with an RTX PRO 1000 on board, the longest runtime of any discrete-GPU system we have tested. Review: Dell Pro Max 16 (AMD) Review

Best Small-Battery Runtime: HP EliteBook 6 G1q

19 hr 35 min from just 56Wh, the only sub-60Wh system in our top ten. Review: HP EliteBook 6 G1q Review

The Top 20

Rank	System	Class	Battery	PCMark 10 Runtime
1	Dell Pro 5 14 Intel	Business laptop	70Wh	26 hr 48 min
2	Dell Pro 7 14 Intel	Business laptop	70Wh	26 hr 18 min
3	Dell Pro Precision 5 16s Intel	Mobile workstation	70Wh	24 hr 43 min
4	HP EliteBook X Flip G1i	Business convertible	68Wh	24 hr 34 min
5	Dell Pro Precision 5 14s Intel	Mobile workstation	70Wh	23 hr 50 min
6	HP EliteBook X G1i	Business laptop	68Wh	23 hr 31 min
7	HP EliteBook 6 G1q	Business laptop	56Wh	19 hr 35 min
8	Dell Pro 7 14 AMD	Business laptop	70Wh	19 hr 28 min
9	Dell Pro Max 16 (AMD)	Mobile workstation	96Wh	16 hr 2 min
10	Lenovo ThinkPad P14s Gen 7	Mobile workstation	75Wh	15 hr 52 min
11	Dell Pro 5 16 AMD	Business laptop	70Wh	15 hr 22 min
12	Lenovo ThinkPad X9 14 Aura Edition	Ultraportable	55Wh	15 hr 10 min
13	Dell Pro Precision 5 14s AMD	Mobile workstation	70Wh	14 hr 26 min
14	Dell Pro 14 Premium	Business laptop	Up to 60Wh	13 hr 55 min
15	Dell Pro Rugged 12	Rugged tablet	71.2Wh	13 hr 14 min
16	Lenovo ThinkPad P1 Gen 8	Mobile workstation	90Wh	12 hr 59 min
17	Lenovo ThinkPad P16v Gen 3	Mobile workstation	90Wh	12 hr 0 min
18	Lenovo ThinkPad P14s Gen 6	Mobile workstation	75Wh	11 hr 48 min
19	Dell Pro Precision 7 16 Intel	Mobile workstation	96Wh	11 hr 43 min
20	HP EliteBook X G1a	Business laptop	74.5Wh	10 hr 48 min

How We Test

Every result comes from the PCMark 10 Modern Office battery rundown, run on the configuration we reviewed with our standardized settings. Runtimes are specific to the tested configuration; a different battery option, display panel, or GPU in the same chassis will change the result. Laptops we have reviewed without completing a battery test are not listed, and a handful of units could not finish the benchmark reliably; they are excluded rather than estimated. Only lab-tested systems appear on this page. The leaderboard carries the top 20 runtimes from the trailing two years of reviews; systems below the cut, mostly discrete-GPU desktop-replacement workstations, stay in their reviews, and results retire as hardware ages out of the window.

Battery Life FAQ

Does a bigger battery mean longer battery life?

No, and this leaderboard is the proof. The 70Wh Dell Pro 5 14 Intel ran 26 hours 48 minutes, while the ThinkPad P16 Gen 3 with a 99.9Wh pack, the largest battery allowed on an airplane, reached roughly 7 hours. Silicon efficiency, discrete graphics, and display power dominate the outcome; capacity just sets the ceiling.

What is good battery life for a business laptop in 2026?

Based on our data, the current top tier of business laptops exceeds 24 hours in PCMark 10 Modern Office, comfortably two working days. Anything above 15 hours is a true all-day system. Under 8 hours generally means the machine is a desk-first workstation carrying a discrete GPU and a high-power CPU.

What is the shortest battery life we have ever measured?

The Dell Pro Max 18 Plus, at 3 hours and 39 minutes, with the HP ZBook Fury G1i 18 close behind at 4 hours and 48 minutes. Neither number is a flaw; both are 18-inch desktop-replacement workstations hauling RTX PRO 5000 Blackwell GPUs, 96 to 99Wh batteries, and seven-plus pounds of hardware. Machines in this class are portable between desks, not between meetings, and the battery mostly exists to survive the walk. That is also why they sit below the cut line of this leaderboard rather than on it.

Why do mobile workstations rank lower?

Discrete GPUs, HX-class processors, and high-resolution displays all draw power even at idle. The interesting exception is the certified-graphics-without-a-dGPU approach: the Dell Pro Precision 5 series delivers ISV-certified workstation graphics from integrated silicon and posts nearly 25 hours, holding two of the top five spots on this page.

The post Laptop Battery Life Leaderboard 2026: Top 20 Lab-Tested Laptops, Ranked appeared first on StorageReview.com.

Updated August 13, 2026: Initial publication. On the roadmap as hardware lands: GB300-class systems. Pick order is provisional pending final composite scoring.

Every system ranked on this page has been through the StorageReview lab. We benchmark local AI performance directly: vLLM online serving throughput, time-to-first-token, and time-per-output-token across models including GPT-OSS-120B, Llama 3.1 8B, Mistral Small 3.1 24B, and Qwen3 Coder 30B, plus MAMF compute efficiency and GDSIO storage testing. No system is ranked from a spec sheet.

The defining question for a local AI desktop in 2026 is unified memory versus discrete VRAM. Deskside appliances such as NVIDIA’s GB10-based DGX Spark and AMD’s Ryzen AI Max (Strix Halo) systems put 128GB of unified memory behind a single chip at appliance prices, holding models that would otherwise require multiple discrete GPUs. Workstation towers answer with raw throughput: RTX PRO 6000 Blackwell cards deliver far higher tokens per second, at several times the cost and power draw. This page ranks both, in separate tiers, from one consistent test suite, because the right answer depends on the largest model you intend to run and how fast you need it to respond.

At a Glance

Category	System	Memory	GPUs (Tested / Max)	Full Review
Best Overall Deskside AI System	NVIDIA DGX Spark	128GB unified LPDDR5X	GB10 integrated (fixed)	DGX Spark Review
Best GB10 Implementation	Acer Veriton GN100	128GB unified LPDDR5X	GB10 integrated (fixed)	Veriton GN100 Review
Best x86 Alternative	AMD Ryzen AI Halo (Strix Halo)	Up to 128GB unified LPDDR5X	Radeon 8060S integrated (fixed)	Ryzen AI Halo Review
Best Without a Discrete GPU	HP Z2 Mini G1a	Unified LPDDR5X (ran GPT-OSS 120B)	Integrated, no dGPU (fixed)	Z2 Mini G1a Review
Best Tower for Local AI	Dell Precision 7875	192GB GDDR7 (2× 96GB)	2× RTX PRO 6000 / 2 max	Precision 7875 Review
Best Multi-GPU Platform	HP Z8 Fury G6i	192GB GDDR7 as tested / up to 384GB	2× RTX PRO 6000 tested / 4 max	Z8 Fury G6i Review
The Extreme Pick	Comino Grando RTX PRO 6000	768GB GDDR7 (8× 96GB)	8× RTX PRO 6000 / 8 max	Comino Grando Review

Deskside AI Appliances

The appliance tier, what Dell calls deskside AI and NVIDIA calls the personal AI supercomputer, trades peak throughput for model capacity, power efficiency, and price. With 128GB of unified memory, these systems comfortably hold 70B-class models at high quantization and can stretch to 120B-class, workloads that would demand multiple discrete GPUs in a tower.

Essential lab reading for this tier: our DGX Spark thermal test compares OEM cooling designs across the GB10 systems below and applies to every unit in this class until these platforms see a revision.

Best Overall Deskside AI System: NVIDIA DGX Spark

The DGX Spark is the reference point every other deskside AI box is measured against. The GB10 Grace Blackwell superchip pairs a 20-core Arm CPU with 128GB of unified LPDDR5X, and dual ConnectX-7 200GbE ports make it the only appliance class we’ve tested that clusters out of the box: our two-node distributed inference testing ran pipeline-parallel workloads across Dell, GIGABYTE, and HP nodes over 200GbE. The CUDA software stack remains the deepest in the segment.

Read the full DGX Spark review

Best GB10 Implementation: Acer Veriton GN100

Among the GB10 OEM systems, thermal design is the real differentiator, and the Veriton GN100 stood out in our testing. All GB10 boxes share the same silicon and memory configuration, so sustained performance comes down to cooling. Our multi-OEM thermal comparison is, to our knowledge, the only one of its kind published.

Read the full Veriton GN100 review

Best x86 Alternative: AMD Ryzen AI Halo

If you need Windows or a standard x86 software stack, Strix Halo is the deskside answer. AMD’s Ryzen AI Max+ 395 platform pairs 128GB of unified memory with a dual-OS setup, and in our testing it handled 200B-parameter-class models, a direct shot at the DGX Spark without the Arm/DGX OS commitment.

Read the full Ryzen AI Halo review

Best Without a Discrete GPU: HP Z2 Mini G1a

The Z2 Mini G1a ran GPT-OSS 120B with no discrete GPU at all. HP’s mini workstation puts AMD’s Ryzen AI Max+ PRO silicon in a compact, quiet, IT-friendly chassis, and it remains the clearest demonstration that unified-memory x86 systems have changed what a small office box can do with large models.

Read the full Z2 Mini G1a review

Also Tested: Deskside AI Appliances

These systems have been through the same lab process and are solid choices that did not take a category slot: Dell Pro Max with GB10, ASUS Ascent GX10, GIGABYTE AI TOP ATOM, HP ZGX Nano G1n, and HP EliteDesk 8 Mini G1a.

Workstation Towers for Local AI

When response time matters more than acquisition cost (interactive coding assistants, multi-user serving, agentic pipelines with long tool-call chains), discrete VRAM still rules. These towers are ranked here on inference throughput and memory ceiling, and for each we list the GPU configuration we tested alongside the chassis maximum, since what a chassis can ultimately hold matters as much as what shipped in our build; they are ranked separately on our Best Desktop Workstations page against SPECworkstation and rendering workloads, because they answer two different questions.

Best Tower for Local AI: Dell Precision 7875

Dual RTX PRO 6000 Blackwell GPUs make the Precision 7875 the fastest standard-form-factor system we’ve tested for local inference. With a Threadripper PRO 9995WX and 192GB of combined VRAM across two cards, it holds 100B-class models entirely in GPU memory while delivering interactive-grade time-to-first-token that no unified-memory appliance approaches. Know the ceiling, though: the 7875 chassis supports a maximum of two dual-width cards, so our dual-GPU build is the maxed-out configuration; there is no adding a third later.

Read the full Precision 7875 review

Best Multi-GPU Platform: HP Z8 Fury G6i

The Z8 Fury G6i is the tower you buy when you plan to grow into more GPUs. Our review build ran two RTX PRO 6000 Max-Q cards for 192GB of combined VRAM, but the chassis, fed by dual power supplies totaling up to 2700W, supports up to four Blackwell cards and 384GB of VRAM. That gap between as-tested and maximum is the point: no standard OEM tower we have tested offers more GPU headroom, and the path from two cards to four requires no chassis change.

Read the full Z8 Fury G6i review

The Extreme Pick: Comino Grando RTX PRO 6000

768GB of VRAM in a liquid-cooled 4U chassis: the Grando exists for the buyer whose model does not fit anywhere else. Our review unit shipped with eight RTX PRO 6000 Blackwell cards at 96GB each, the chassis maximum, and Comino’s liquid cooling sustains all eight at full TDP around the clock without throttling. That is more GPU memory than many rack servers, in something that can still live beside a desk. It is loud on price, not on acoustics, and it is deliberately the outlier on this list: proof of where the deskside ceiling actually is.

Read the full Comino Grando review

How We Rank

Three rules govern every StorageReview leaderboard. First, only lab-tested systems are ranked. If we haven’t benchmarked it, it can be mentioned, but it cannot hold a category. Second, systems are ranked once per measurement basis. The towers above also appear on our desktop workstation leaderboard, ranked there by SPECworkstation and rendering performance, ranked here by inference throughput and memory ceiling. Different question, different data, sometimes a different winner. Third, there is a viability bar: a system must run a 30B-class model at interactive speeds, or offer at least 96GB of model-accessible memory, to be ranked on this page.

Rankings are derived from a composite of vLLM online serving throughput, time-to-first-token, time-per-output-token, MAMF compute efficiency, GDSIO storage performance, and street price. Editorial judgment breaks ties within scoring bands. Vendors do not see rankings before publication, and no placement on this page is paid.

Local AI Desktop FAQ

What is the best desktop for agentic AI?

Agentic workloads such as coding agents, tool-calling pipelines, and multi-step autonomous tasks are throughput- and latency-sensitive in a way single-chat use is not, because agents chain many model calls with large context. That favors the tower tier: the Dell Precision 7875’s discrete VRAM delivers the sustained time-to-first-token that keeps long agent chains responsive. For budget-conscious agentic experimentation, a GB10-class appliance runs the same stacks at lower speed. Our full sizing guidance is in RAM, GPU & Storage for Agentic AI (coming soon).

How much memory do I need to run a 70B model locally?

As a working rule, a 70B model at 4-bit quantization needs roughly 40-48GB of model-accessible memory before context; comfortable interactive use with meaningful context wants more. That is why 128GB unified-memory appliances handle 70B-class models well, and why 24-32GB single-GPU systems do not make this page.

Do I need special power to run these systems?

For the appliance tier, no: GB10-class boxes and Strix Halo systems run comfortably on a standard office outlet. The towers deserve a real conversation with whoever owns the building. A fully configured HP Z8 Fury G6i can carry dual power supplies totaling up to 2700W, more than a standard 15-amp, 120V circuit can deliver, and the Comino Grando specifies 2000W hot-swap supplies that require 180-264V input, dropping to 1000W units on 110V service. Before buying from the top of this page, check what the wall can actually feed; a dedicated circuit or 208/240V service may be part of the true cost of a full GPU loadout. Heat follows the same math, since every watt drawn ends up in the room.

What about a Mac Studio?

Not right now, and not only because we have yet to lab-test one. Apple has stopped selling the high-memory Mac Studio configurations, which were the machine’s one real advantage for local AI: enough unified memory to hold very large models. Without those configurations, the current lineup is not a serious contender for this page. Apple is expected to refresh the Mac Studio this year; if high-memory options return, we will test one and reconsider.

The post Best Desktops for Local AI in 2026: Lab-Tested Leaderboard appeared first on StorageReview.com.

Updated August 15, 2026: Ubiquiti Reviews joins the family, indexing all 27 UniFi and Ubiquiti products we have tested, alongside the new Best Enterprise SSDs leaderboard.

StorageReview Best is our family of living leaderboards for storage and complete systems, built on one rule most buyer’s guides skip: if we have not benchmarked it in our lab, we do not rank it. Every pick links to a full review containing the data behind the call, and every leaderboard carries a dated changelog so you can see exactly what changed and when. These pages are updated as new hardware completes testing, not on a publishing calendar.

How These Leaderboards Work

Three rules govern every StorageReview leaderboard. First, only lab-tested products are ranked. Products we have not measured can be mentioned, but they cannot hold a category. Second, products are ranked once per measurement basis. The same workstation tower can lead one leaderboard on SPECworkstation and rendering results and another on AI inference throughput, because those are different questions answered by different data. Third, rankings are built from a composite of our standardized benchmark suites plus street price, with editorial judgment breaking ties inside scoring bands. Vendors do not see rankings before publication, and no placement on any leaderboard is paid.

The Leaderboards

Leaderboard	What It Covers	Updated
Storage Leaderboard	The best SSDs, hard drives, portable storage, and memory cards, ranked from our storage test suite	Aug 13, 2026
Best Enterprise SSDs	Data center SSDs ranked on FIO, GPU Direct Storage, and DLIO checkpointing	Aug 15, 2026
Best Desktops for Local AI	GB10 deskside AI appliances, AMD Strix Halo systems, and RTX PRO 6000 workstation towers, ranked on vLLM serving throughput and memory ceiling	Aug 13, 2026
Best Laptops for Local AI	Unified-memory, discrete-GPU, and NPU laptops ranked on lab-measured LLM performance	Aug 14, 2026
Best Mobile Workstations	Workstation laptops ranked on SPECworkstation, SPECviewperf, rendering, and battery data	Aug 14, 2026
Best Desktop Workstations	Workstation towers ranked on SPECworkstation, SPECviewperf, and rendering workloads	Aug 14, 2026
Best Business Laptops	Business laptops ranked for performance, battery life, and fleet manageability across Intel, AMD, and Snapdragon	Aug 14, 2026
Laptop Battery Life Leaderboard	The top 20 lab-measured PCMark 10 Modern Office runtimes from the past two years of reviews	Aug 14, 2026
RAM, GPU & Storage for Agentic AI	A sizing guide for local and agentic AI hardware, from 8B to 200B-class models	Aug 16, 2026
Ubiquiti Reviews	Every Ubiquiti and UniFi product we have tested, indexed by category	Aug 15, 2026

Current Leaders

A few of the systems currently holding category spots. Each leaderboard page carries the full field, the data, and the reasoning.

Storage

Category	Current Leader	Leaderboard
Best Overall Enterprise SSD	Micron 9550 MAX	Enterprise SSDs
Highest-Capacity SSD Tested	Micron 6600 ION 245.76TB	Enterprise SSDs

Local AI

Category	Current Leader	Leaderboard
Best Overall Deskside AI System	NVIDIA DGX Spark	Desktops for Local AI
Best Tower for Local AI	Dell Precision 7875	Desktops for Local AI
Best Without a Discrete GPU	HP Z2 Mini G1a	Desktops for Local AI
Best Laptop for Local AI	Dell Pro Max 18 Plus	Laptops for Local AI

Workstations

Category	Current Leader	Leaderboard
Best Overall Desktop Workstation	HP Z8 Fury G6i	Desktop Workstations
Best Overall Mobile Workstation	Dell Pro Max 16 Plus	Mobile Workstations
Fastest Mobile Workstation Benchmarked	Dell Pro Max 18 Plus	Mobile Workstations

Business Laptops

Category	Current Leader	Leaderboard
Best Overall Business Laptop	Dell Pro 7 14 Intel	Business Laptops

Battery Life

Category	Current Leader	Leaderboard
Longest Battery Life (26 hr 48 min)	Dell Pro 5 14 Intel	Laptop Battery Life
Longest Battery Life in a Workstation (24 hr 43 min)	Dell Pro Precision 5 16s Intel	Laptop Battery Life

In the Lab

Leaderboards grow as reviews publish. Current testing that will feed upcoming rankings includes the mobile workstation field (ThinkPad P-series, Dell Pro Max, HP ZBook), current business laptops from Dell, HP, and Lenovo, and GB300-class rack systems as hardware lands. If a category you care about is not listed, it is worth checking the workstation review archive; leaderboards start from published reviews.

Leaderboard FAQ

How often are these pages updated?

Whenever a new review changes a ranking, not on a calendar. Every leaderboard carries a dated changelog at the top listing what was added, what moved, and what is in the lab now.

Can vendors submit products for testing?

Yes. Review units go through the same benchmark suite as everything else in the category, and testing a product does not guarantee a leaderboard spot. Vendors can reach the lab through our contact page.

Are any placements paid?

No. Rankings are set by benchmark data and editorial judgment, vendors do not see them before publication, and sponsorships never buy a spot on any leaderboard.

The post StorageReview Best: Lab-Tested Buyer’s Guides appeared first on StorageReview.com.

When we reviewed the NVIDIA DGX Spark, storage was the platform’s clearest design flaw, and it is a form-factor problem before it is anything else. The Spark’s internal slots take short M.2 drives, the 2230 and 2242 class, where packaging wins, and capacity loses. The high-capacity end of the client SSD market lives in full-size 2280 drives, where 8TB models ship today, and the Spark simply has nowhere to put one. That leaves a machine built for serious AI work with a storage ceiling better suited to a thin-and-light laptop, and no internal path around it. The Luisuantech GP Spark is a solution for exactly that problem: a 0.58-liter, four-bay box for full-size M.2 drives that cables to the Spark’s 100GbE port, shows up as native NVMe devices with no drivers or formatting, and serves GPU Direct Storage traffic at close to line rate.

The pitch is simplicity with client-drive economics. The GP Spark’s four bays take ordinary M.2 2280 or 22110 NVMe SSDs, the form factors the Spark itself locks out, and presents them over NVMe-oF RDMA through a hardware offload engine on a dedicated chip. Luisuantech’s spec sheet validates drives up to 4TB today, 16TB per enclosure, though these are the same slots where 8TB client drives already ship, so the practical ceiling is a validation question rather than a mechanical one. There is no enterprise array here, no licensing, and no storage OS to learn. Plug a DAC or AOC cable between the GP Spark and the DGX Spark, run modprobe nvme-rdma on the Spark’s Ubuntu base, and the drives appear as /dev/nvme devices ready for GDS access.

Design and Build

The GP Spark is a 150mm x 150mm x 26mm box, a smaller footprint than the Spark itself, wrapped in a perforated metal chassis with a single power button that doubles as a status light: green for normal, red for fault. Power comes over USB-C PD from a 20V/5.4A external adapter, with the whole unit rated under 100W, including drives. The rear panel carries exactly three connectors: the USB-C power input, a USB-C factory debug port, and the QSFP28 100GbE data port, which accepts copper DACs or optical modules. Inside, a dedicated data processor and coprocessor handle the NVMe-oF offload, and the four M.2 bays sit under the top cover.

The rear panel is all business: USB-C power and debug ports on the left, the QSFP28 cage on the right, and a row of copper fin stacks visible through the vents between them. Cooling is entirely passive.

Pop the top cover, and the four M.2 bays sit in a row, here populated with our KIOXIA XG8 test drives. The lid itself is the drive cooler: blue thermal pads on its underside couple each SSD to the finned heatsink that forms the top of the chassis, a clean passive solution for client drives that never see sustained enterprise duty cycles.

A disclosure before the numbers: our unit is a prototype. The bottom label reads GP-Spark-1000, marks the device Prototype, Not for Resale, and carries a February 2026 build date under the Swingsoon brand Luisuantech uses on hardware. Production units may differ in fit and finish, though the platform behavior we tested is what Luisuantech is shipping to reviewers today. Two further notes on the out-of-box experience. Our unit shipped with two printed manuals entirely in Chinese, and initial setup appears to route through Wi-Fi onboarding. Neither is a blocker for the audience this box targets, but a Western launch will need English documentation.

Setup and Architecture

There is no RAID controller and no storage abstraction onboard: the GP Spark is a JBOF in the literal sense, exposing each installed SSD as its own NVMe-oF namespace. In our configuration, four drives appeared as four /dev/nvme devices on the host. Redundancy or striping is the host’s job. The vendor spec sheet lists a single 100GbE port at 10GB/s and 2.7M IOPS; the product report separately references 2x100GbE configurations and up to 24GB/s, a figure Luisuantech confirmed is aggregate read plus write. Our unit and testing used the single-port configuration.

Luisuantech GP Spark Specifications

Specification	Luisuantech GP Spark
Platform Overview
Drive Bays	4 x M.2 NVMe (2280 / 22110) Mixed capacities supported, up to 4TB per drive
Network	QSFP28 100GbE (DAC or optical) RDMA required
Protocols	NVMe-oF RDMA GPU Direct Storage (GDS)
Performance (Vendor-Stated)
Throughput	10GB/s per 100GbE port Up to 24GB/s aggregate read plus write
IOPS	2.7M
Access Latency	Under 20 microseconds
Power and Physical
Power	Under 100W total 20V/5.4A USB-C PD external adapter
Dimensions	150mm x 150mm x 26mm (0.58L)
Operating Temperature	0 to 40C
Compatibility	NVIDIA DGX Spark DGX Station Workstations and servers with RDMA-capable NICs

Performance

Our test configuration paired the GP Spark with a GIGABYTE DGX Spark over a direct 100GbE connection, with four 1TB KIOXIA XG8 client NVMe SSDs populating the bays. It’s important to keep in mind that the drives you pick will play a significant role in the measured performance. We leveraged client Gen5 SSDs; some models, especially enterprise SSDs, may offer higher sustained write performance. We ran FIO sweeps across 4K and 64K random and 1M sequential workloads, read and write, stepping iodepth and numjobs to map the full envelope. Results reflect the final retest after applying Luisuantech’s MTU guidance, which improved transfer behavior over our initial runs.

4K Random Performance

Small-block reads are where the offload engine shows its worth. 4K random reads scaled with queue depth to a peak of 2.43 million IOPS at 9,475 MiB/s, within sight of the vendor’s 2.7M claim and effectively saturating the 100GbE link with 4K transfers. For a passively powered four-bay box feeding a desk-side AI system, that is a remarkable figure.

Writes follow the same shape at roughly half the height, peaking at 1.19 million IOPS. The gap between read and write ceilings is consistent across every workload we ran. The performance is directly related to the underlying drives, so results here will vary depending on configuration.

Read latency bottoms out at 65.3 microseconds on average at low queue depth. That is higher than the vendor’s sub-20-microsecond claim, but results will vary depending on drive selection and network configuration. The network round trip is also doing work in that number; latency stays flat and predictable until the link saturates.

Write latency is the one place the spec sheet claim lands: 20.4 microseconds average at minimal depth, right at the vendor’s under-20-microsecond figure and low enough that the fabric is effectively invisible to the application.

64K Random Performance

At 64K, the story becomes purely about bandwidth. Random reads hold 9,503 MiB/s at peak, statistically identical to the 4K and 1M ceilings. Whatever block size the workload brings, the GP Spark delivers the same answer: the full line rate of its 100GbE port.

64K random writes plateau at 4,742 MiB/s, the same ceiling we measured at every other block size.

1M Sequential Performance

Large-block sequential reads, the profile of model loading and dataset streaming, reach 9,496 MiB/s and hold there from modest queue depths onward. This is the workload the GP Spark exists for, and it runs at the wire.

Sequential writes hold 4,742 MiB/s, roughly half of read throughput, and that ceiling is identical at every block size we tested. We flagged the asymmetry to Luisuantech during testing and worked through a round of tuning with the company, including MTU changes; the figures here represent the best the platform delivers in its current single-port configuration, and Luisuantech confirmed they are consistent with its specifications for the write path. For the read-dominated workloads this box targets, model loading, dataset streaming, and RAG retrieval, it is a footnote; for heavy ingest, size expectations accordingly.

Conclusion

The GP Spark does one thing and does it cleanly: it gives one or more DGX Spark the storage the platform really needs for heavy lifting. Cable it up, load the kernel module, and nearly 10GB/s of GDS-accessible flash appears without a driver install, a storage OS, or an enterprise invoice. Filling it with client M.2 drives is the point; capacity gets relatively cheap when the box accepts whatever 2280 or 22110 SSDs you have, and the offload engine handles the protocol work the drives never see.

Our take is that this is a neat, well-executed add-on rather than a breakthrough. Reads stop at the single link’s line rate; writes stop at roughly half of that. Pricing is the open question: the GP Spark is not yet listed at retail in the US or China, our test unit is a prototype, and Luisuantech has not published pricing. The value argument rests on the box coming in meaningfully below enterprise NVMe-oF alternatives, which its client-drive design should allow. For Spark owners who hit the internal storage wall, and our original review suggests that many of them will, this is an easy path to solve that issue without carving out storage from a large enterprise storage estate.

Product page: Luisuantech GP Spark

The post Luisuantech GP Spark Review: Nearly 10GB/s of Plug-and-Play Storage for the DGX Spark appeared first on StorageReview.com.

DapuStor used FMS 2026 to show what it calls an industry-first 512TB SSD: a new top capacity for the R6060 PCIe 5.0 QLC line that doubles the company’s previous 245TB design and puts a full petabyte of flash in just two drives. The drive was demonstrated on the show floor through a performance test video, alongside a liquid-cooled E1.S model, mixed-mode QLC solutions, and dual-port E3.S drives spanning TLC and QLC.

The 512TB figure resets the top of the announced-capacity table. The largest SSD we have tested is Micron’s 245.76TB 6600 ION, and DapuStor’s own R6060 came through the lab in May in its 122.88TB configuration, where its read-heavy Gen5 QLC design held up well at scale. DapuStor has not published performance specifications for the 512TB model, so for now, the claim rests on the show-floor demonstration.

512TB R6060: A Petabyte in Two Drives

The new R6060 arrives in next-generation EDSFF form factors, including E3.L and E2, the emerging EDSFF variant aimed at maximum-capacity drives. DapuStor positions the drive for large AI datasets and capacity-intensive infrastructure, with the familiar density argument: fewer drives per rack for a given capacity target, which reduces slot count, power draw, and overall TCO. Those are the vendor’s claims, and they will ultimately depend on pricing, endurance, and performance figures that the company has not yet disclosed.

Liquid-Cooled E1.S for Dense AI Servers

Alongside the capacity play, DapuStor introduced an 8TB R6 PCIe 5.0 TLC SSD in E1.S with cold-plate liquid-cooling support. The compact form factor targets dense, GPU-heavy AI servers and liquid-cooled data center environments, where flash increasingly shares the cooling loop with the accelerators it feeds.

Mixed-Mode QLC and Dual-Port E3.S

The J5060 QLC Series supports mixed SLC and QLC deployment, letting a system carve a high-performance flash tier and a high-capacity QLC tier within the same architecture. DapuStor also showed R6 E3.S dual-port enterprise SSDs in both TLC and QLC configurations, with TLC models scaling to 30.72TB and QLC to 61.44TB; dual-port support adds path redundancy for high-availability enterprise and AI storage systems.

DapuStor ran the show from Booth #115, and on the final day, its VP of R&D, Xiang Chen, presented a technical session on optimized solutions for large-capacity QLC SSDs in the AI era. The company was one of several vendors leaning hard into QLC capacity at FMS 2026, where the show’s throughline was flash positioning itself as the capacity tier for AI infrastructure. No availability dates or pricing were announced for the 512TB R6060; we will follow up as the drive moves toward production, and our full test data on the current R6060 is in the 122TB review.

The post DapuStor Shows a 512TB QLC SSD at FMS 2026: 1PB of Flash in Two Drives appeared first on StorageReview.com.

The Dell Pro Precision 5 14s is a compact mobile workstation built around Intel’s latest professional laptop platform. Our review unit combines a Series 3 Intel Core Ultra X9 388H, a 16-core Panther Lake processor with a 50 TOPS NPU, with Intel Arc Pro B390 graphics, 64GB of LPCAMM2 memory running at 8533 MT/s, and a 1TB Gen5 SED-ready SSD. During testing, this configuration produced the strongest productivity results we have recorded from a 14-inch laptop while lasting nearly a full day on battery.

Within Dell’s lineup, the Pro Precision 5 14s adds workstation-focused graphics drivers and enterprise features without moving to a heavier discrete GPU design. It is designed for engineers, developers, analysts, and creators who need certified application support, strong CPU performance, and easier business deployment in a portable system. Dell also offers the same chassis with an AMD Ryzen AI 9 HX PRO 475, giving us a direct platform comparison throughout the review. This size also keeps the portability expected from a 14-inch business laptop: it’s compact, has a decent selection of ports, and features a replaceable LPCAMM2 memory.

Intel’s Arc Pro B390 is the professional version of the Arc B390 integrated GPU, pairing 12 Xe cores with certified drivers for professional applications. Alongside the Core Ultra X9 388H’s NPU, the system can run local AI workloads across the CPU, GPU, or dedicated 50 TOPS accelerator. Our testing covers all three, along with professional graphics, content creation, storage, and battery performance.

The Dell Pro Precision 5 14s starts at $2,228. Our review configuration prices out at $5,725.11 as a single-unit purchase on Dell.com, with the 16GB to 64GB LPCAMM2 memory jump representing the largest single line item. As with all commercial systems, most business buyers purchase through an account team at volume discounts, so the web price is best viewed as a reference ceiling rather than a typical fleet cost. The system is available now on the Dell Pro Precision 5 Series 14S product page.

Dell Pro Precision 5 14s Specifications

Specification	Dell Pro Precision 5 14s (PW514260)
Processor	Intel Core Ultra X9 388H vPro (Series 3, 16 cores/16 threads, up to 5.1GHz, 18MB cache, 50 TOPS NPU)
Graphics	Intel Arc Pro B390 (12 Xe cores, integrated)
Memory	64GB LPCAMM2, 8533 MT/s, dual-channel
Storage	1TB Performance SSD, PCIe Gen5, SED-ready
Display	14-inch FHD+/WUXGA (1920 x 1200), non-touch, 500 nits, IPS, 100% sRGB, anti-glare, low blue light, low power
Camera	8MP HDR RGB + IR with User Presence Detection
Wireless	Intel Wi-Fi 7 BE211
Keyboard	English US backlit (mini-LED backlight)
Security	Fingerprint reader, smart card reader, NFC, ControlVault 3+, TPM 2.0
Battery	3-cell, 70Wh Long Lifecycle, ExpressCharge and ExpressCharge Boost
Power	100W USB-C adapter
Operating System	Windows 11 Pro (Copilot+ PC)
Chassis	Aluminum top cover, palm rest, and bottom cover
Systems Management	Intel vPro Enabled
Warranty	36 months Onsite Service after Remote Diagnosis
Price	$2,228 starting; $5,725.11 as tested (Dell.com single-unit)

Build and Design

The 5 14s is the thin system. Dell builds two 14-inch machines in this family, and the S gives up internal volume to hit a travel weight. It starts at 3.12 pounds against 3.98 for the standard Pro Precision 5 14, and measures 19.1mm at its thickest point against 23.65mm, in a chassis with effectively the same footprint at 315.5 by 226mm. Losing 0.86 pounds and roughly 4.5mm off a 14-inch workstation is the entire premise of the model, and the compromises it forces are visible once the bottom comes off.

The top cover is aluminum in a dark graphite that reads closer to blue than black under lab light, with a fine matte texture that hides fingerprints far better than the gloss lids Dell used to ship on this line. A mirrored Dell badge sits dead center and is the only marking on the surface. Dell specifies a three-sided aluminum chassis across the top cover, palm rest, and bottom, and states that it uses 50% recycled and 50% low-emissions aluminum. The wedge is pronounced for a machine this thin, tapering from 14.72mm at the hinge to 10.80mm at the front lip. The aluminum top cover provides good rigidity with minimal flex when opening the lid from a far corner. The hinge also provides a consistent, low-effort glide when opening the lid single-handedly.

The keyboard is a standard 79-key US layout with no number pad, mini-LED backlighting, and a function row that earns its keys: microphone mute on F4, a presence-detection toggle on F5, keyboard backlight on F6, display switching on F9, and a camera privacy toggle on F10. Dell puts home, end, insert, and delete in a column down the right edge rather than doubling them onto the arrows, which is a sensible call on a keyboard this size. The power button at the top right integrates the fingerprint reader. A Copilot key sits between the right alt and the arrow cluster, and that cluster is the one place the layout gives ground: full-size left and right arrows with half-height up and down keys that double as page up and page down. The keyboard layout is pretty typical of other Dell notebooks in its class, with a noticeable spacing between the keys, compared to others with tightly-neighboring keycaps. The mini-LED backlighting features two brightness levels, and both are respectable but not too bright in low-light environments, and even visible in well-lit environments.

The touchpad is a seamless clickpad, generously sized for a 14-inch deck, featuring a smooth coating for effortless navigation, and utilizes a typical diving board-style click mechanism. There is a tap target printed in the center for the NFC reader Dell builds into the palm rest, which is a good place for it on a machine aimed at badge-in environments.

The right edge carries a slim tray at the front, the headset jack, a USB-A port at 5Gbps, gigabit Ethernet, and a wedge lock slot at the rear corner. Beyond the headphone jack, we also see a blank for an optional nano-SIM tray for configurations with WWAN. The RJ45 is the surprise. Dropping a full-height Ethernet jack into a chassis that is 10.8mm at the front is the kind of thing that disappears from consumer machines first, and its presence here says more about the intended buyer than any spec-sheet line does.

The left edge holds HDMI 2.1, a second 5Gbps USB-A, and two Thunderbolt 4 ports rated at 40Gbps with Power Delivery and DisplayPort, either of which takes the 100W charger. Further back along the palm rest edge is the smart card reader slot. Counting it up, this is a workstation that drives external displays over HDMI or either USB-C port, takes legacy USB-A peripherals on both sides, has wired networking, and reads both smart cards and NFC badges, all without a dock. Very few 3.1-pound machines can say that.

The top bezel is thin without resorting to a notch or a pop-up camera. The 8MP HDR module sits center with IR emitters flanking it for Windows Hello and user presence detection, and a mechanical shutter slides across the lens, visible as the textured tab in the middle of the housing. That is a physical shutter rather than an electronic kill switch, which is what security-minded IT actually wants. Audio comes from stereo speakers driven by Cirrus CS35L63 amplifiers at 2W per channel, with a dual-array microphone alongside the camera. The 8MP webcam produces a more than respectable image for use in conference calls without much grain or light distortion noticeable. The bottom-firing stereo speakers also produce a noticeable stereo effect for how close they are together, and make a pretty full sound, without a lot of distortion or rattle at full volume.

With the bottom cover off, the serviceability claims hold up better than they usually do at this thickness. Memory is an LPDDR5X CAMM2 module under a metal retention plate, not soldered, and Dell prints the tightening order and an 18 to 20 kgf/cm torque spec directly on the shield. That is the single most consequential thing in this photo: a 3.12-pound workstation where a customer can change the RAM is quite rare. The Wi-Fi card is socketed M.2 rather than soldered down; the SSD sits under its own thermal plate on the right, with service instructions silkscreened next to it; and the 70Wh battery, Dell type 77C3X, lifts out with the connector at the center. Cooling is a single AVC blower and one heatpipe, which is the price of the thin chassis and the thing to watch in the sustained load results below.

For a machine built to a weight target, very little has been engineered out. The port selection is fuller than most thin-and-lights twice its class, the security hardware is all present, and the parts a fleet manager expects to replace over three years are the parts that come out first. What the 5 14s trades away is thermal headroom rather than features, and that shows up in the numbers rather than the hands.

Dell Pro Precision 5 14s Performance

Our review unit runs the Core Ultra X9 388H with Arc Pro B390 graphics, 64GB of LPCAMM2 at 8533 MT/s, and a 1TB Gen5 SSD on Windows 11 Pro, with benchmarks tested on the Best Performance power mode. For battery life testing, we configure systems into Balanced power mode and set the screen brightness to 50%.

For comparables, we included the AMD version of the same machine, the Dell Pro Precision 5 14s AMD (Ryzen AI 9 HX PRO 475, Radeon 890M, 64GB LPDDR5x), the standard Dell Pro 5 14 Intel (Core Ultra X7 368H with Arc B390 integrated graphics, 64GB), and the Lenovo ThinkPad P14s Gen 7 (Core Ultra 7 366H, NVIDIA RTX PRO 1000, 64GB), the closest competing 14-inch mobile workstation. The Pro 5 14 predates our adoption of Geekbench 7, Cinebench 2026, and standalone 7-Zip, so it sits out those tables. We also tested the 16-inch Dell Pro Precision 5 16s Intel, which shares this unit’s exact CPU and GPU; its results land within a few percent of the 14s across the suite, so we left it off the tables and call out the handful of places where the bigger chassis makes a substantial difference.

A note on GPU labeling: the three systems in this group without a discrete GPU run V-Ray’s GPU test through the CUDA-compatible engine on their integrated graphics, and V-Ray reports the processor name in its device field. We label those results by the GPU that did the work.

PCMark 10

PCMark 10 measures general system performance across everyday work such as web browsing, video conferencing, spreadsheets, writing, photo editing, and rendering. The overall score is supported by the Essentials, Productivity, and Digital Content Creation subscores, which show where a system’s strengths lie. Higher scores are better.

PCMark 10	Dell Pro Precision 5 14s Intel	Dell Pro Precision 5 14s AMD	Dell Pro 5 14 Intel	Lenovo ThinkPad P14s Gen 7
Overall Score	10,019	8,762	7,945	9,083
Essentials	12,188	11,442	10,751	10,686
Productivity	15,827	14,272	13,821	16,501
Digital Content Creation	14,147	11,178	9,158	11,534

 

The Pro Precision 5 14s posted an overall score of 10,019, the first laptop in our 14-inch group to cross the 10,000 mark. It led every subscore except Productivity, where the ThinkPad P14s Gen 7 edged ahead, and its Digital Content Creation score of 14,147 ran 23% ahead of the P14s and 54% ahead of the standard Pro 5 14.

PCMark 10 Modern Office Battery

The PCMark 10 Modern Office battery test repeatedly runs common office tasks until the battery reaches the test’s cutoff point, in Balanced mode at 50% display brightness. This is a rundown of the whole system rather than a synthetic idle drain, so it tracks closely with what a full day of productivity work does to the battery. Longer runtimes are better.

Modern Office Battery	Dell Pro Precision 5 14s Intel	Dell Pro Precision 5 14s AMD	Dell Pro 5 14 Intel	Lenovo ThinkPad P14s Gen 7
Runtime (higher is better)	23 hours 50 minutes	14 hours 26 minutes	26 hours 48 minutes	15 hours 52 minutes

 

At 23 hours and 50 minutes, the 5 14s Intel ran more than nine hours past the AMD version of the same chassis and eight hours past the dGPU-equipped ThinkPad. The standard Pro 5 14 remains our overall champion at 26 hours and 48 minutes, helped by its lower-power X7 silicon, but Precision gets remarkably close while carrying much stronger sustained performance. For what it is worth, the 16-inch 5 16s Intel and its larger thermal envelope stretched the same platform to 24 hours and 43 minutes.

Geekbench 6

Geekbench 6 measures processor performance using a mix of common tasks, with separate scores for single-core and multi-core workloads, plus GPU compute scores through OpenCL and Vulkan. Higher scores are better.

Geekbench 6	Dell Pro Precision 5 14s Intel (Arc Pro B390)	Dell Pro Precision 5 14s AMD (Radeon 890M)	Dell Pro 5 14 Intel (Arc B390)	Lenovo ThinkPad P14s Gen 7 (RTX PRO 1000)
CPU Single-Core	3,010	2,831	2,952	2,808
CPU Multi-Core	17,396	14,611	10,372	16,319
GPU OpenCL	56,745	36,322	32,458	87,537
GPU Vulkan	55,581	49,868	43,382	73,204

 

The X9 388H took the single-core lead at 3,010 and posted 17,396 multi-core, ahead of every comp, including the ThinkPad. The GPU results are where the Arc Pro B390 separates itself from its non-Pro sibling in the Pro 5 14: 56,745 in OpenCL versus 32,458, a 75% gap between two GPUs with the same core count, reflecting the X9 platform’s higher graphics clocks and the Pro driver stack. The RTX PRO 1000 in the ThinkPad still owns outright GPU compute.

Geekbench 7

Geekbench 7 joins the suite alongside Geekbench 6 as comparison data builds. Its CPU scores are calibrated against a baseline of 2,500, set by the AMD Ryzen 7700, while GPU scores are calibrated against a baseline of 100,000, set by the NVIDIA GeForce RTX 4060. Higher scores are better, and double the score indicates double the performance. Because Geekbench 7 uses new workloads and new baselines, its scores are not comparable to Geekbench 6 results. The Dell Pro 5 14 was tested before we adopted Geekbench 7, so it sits this table out.

Geekbench 7	Dell Pro Precision 5 14s Intel (Arc Pro B390)	Dell Pro Precision 5 14s AMD (Radeon 890M)	Lenovo ThinkPad P14s Gen 7 (RTX PRO 1000)
CPU Single-Core	2,702	2,571	2,533
CPU Multi-Core	18,788	15,514	17,651
GPU OpenCL	54,854	31,423	75,340
GPU Vulkan	46,906	*	70,067
GPU CUDA	N/A	N/A	114,469

 

*The AMD unit’s Vulkan run failed workload validation in Geekbench 7 and was assigned a zero score for the affected subtest; we have discarded the result and will update the table when a clean run is available.

The story repeats on the newer suite: the X9 388H leads both CPU metrics in this group, with 18,788 multi-core putting it 6% ahead of the ThinkPad and 21% ahead of the AMD sibling. In GPU compute, the Arc Pro B390 lands at roughly half of Geekbench 7’s RTX 4060 baseline, which is strong territory for integrated graphics but well short of the RTX PRO 1000.

Cinebench R23 and 2024

Cinebench measures how quickly the processor can render a complex photorealistic scene, with separate single-core and multi-core tests. R23 uses the legacy Cinema 4D engine that remains the most widely quoted version, while Cinebench 2024 moves to the Redshift render engine with a rebased score range. Hence, scores are not comparable between the two versions. The GPU test in Cinebench 2024 requires more graphics memory than these integrated platforms expose, so it did not run on the Dell systems. Higher scores are better.

Cinebench	Dell Pro Precision 5 14s Intel	Dell Pro Precision 5 14s AMD	Dell Pro 5 14 Intel	Lenovo ThinkPad P14s Gen 7
Cinebench R23
Single-Core	2,137	2,028	2,010	2,056
Multi-Core	18,466	20,884	16,915	18,546
Cinebench 2024
Single-Core	125	114	122	123
Multi-Core	1,106	1,089	807	1,118

 

The AMD unit’s 24-thread Ryzen takes R23 multi-core at 20,884, a workload that has long favored AMD’s thread count, while the X9 388H wins single-core in both versions. In Cinebench 2024, the three current-generation machines bunch within 3% of each other in multi-core, all well clear of the Pro 5 14’s 807.

Cinebench 2026

Cinebench 2026 joins the suite alongside R23 and 2024. It tests CPU and GPU performance using Maxon’s Redshift render engine. It is built on the latest Cinema 4D 2026 code and is designed to show whether a machine is stable under high CPU load, whether a notebook’s cooling can sustain longer render tasks, and how it handles demanding real-world 3D work. Because code and compiler changes accelerated scene rendering, Cinebench 2026 scores use an adjusted range and should not be compared to scores from previous Cinebench versions. Its GPU test supports current NVIDIA and AMD hardware but does not yet run on Intel integrated graphics, so the two Intel Dell systems have no GPU score.

Cinebench 2026	Dell Pro Precision 5 14s Intel	Dell Pro Precision 5 14s AMD	Lenovo ThinkPad P14s Gen 7
CPU Single Thread	513	466	502
CPU Multiple Threads	4,513	4,230	4,492
GPU	N/A	5,313	34,437

 

On the Redshift-based CPU test, the X9 388H again finishes first, though the margin over the ThinkPad is under 1%. The Radeon 890M managed a GPU score of 5,313, and the RTX PRO 1000 shows what a workstation dGPU adds in a supported renderer.

7-Zip Compression

The built-in 7-Zip benchmark measures how quickly the processor can compress and decompress data using multiple threads, run with a 128MB dictionary across ten passes. Decompression tends to scale with thread count while compression leans on memory latency, so the two halves often tell different stories. Higher GIPS scores are better.

7-Zip 24.09 (GIPS)	Dell Pro Precision 5 14s Intel	Dell Pro Precision 5 14s AMD	Lenovo ThinkPad P14s Gen 7
Compressing	92.836	89.099	90.364
Decompressing	93.089	117.545	90.526
Total Rating	92.963	103.322	90.445

 

Decompression scales with thread count, which gives the 24-thread AMD unit a total rating of 103.322 GIPS. The Intel unit’s 92.963 edges the ThinkPad, and for reference, the 16-inch 5 16s Intel squeezed out 96.764 GIPS from the same silicon with more thermal room.

y-cruncher

y-cruncher measures how quickly the processor can calculate large numbers of digits of Pi, placing a heavy load on the CPU and memory subsystem. At the same time, the BBP runs extract hexadecimal digits of Pi. Results are in seconds, so lower times are better. The AMD unit could not complete the 5 billion and 10 billion digit runs because its memory reservation for the integrated GPU reduces the available pool below what those sizes require.

y-cruncher (seconds, lower is better)	Dell Pro Precision 5 14s Intel	Dell Pro Precision 5 14s AMD	Dell Pro 5 14 Intel	Lenovo ThinkPad P14s Gen 7
Pi 1B	28.404	24.648	29.405	26.685
Pi 2.5B	83.968	71.084	90.719	76.787
Pi 5B	190.356	N/A	204.685	172.994
Pi 10B	417.224	N/A	512.277	392.083
Pi BBP 1B	1.684	1.104	1.718	1.621
Pi BBP 10B	20.028	14.333	20.210	18.200
Pi BBP 100B	241.409	166.762	256.416	219.969

 

The AMD unit’s SMT threads give it a clear edge in every run it completed, and the ThinkPad finishes ahead of the review unit at the larger sizes. The Precision still beats the Pro 5 14 across the board, with the gap widening to 19% at 10 billion digits.

Blender

The Blender benchmark measures rendering performance using three different 3D scenes: Monster, Junkshop, and Classroom. Results are reported in samples per minute, so higher scores are better, and we test on both the CPU and GPU. Scores are not comparable across Blender versions, so each version gets its own table. Starting with this review, we are trimming the older Blender releases from the suite and reporting the current 5.1 and 5.2 results; the Pro 5 14 predates Blender 5.2, and the ThinkPad P14s Gen 7 will join these tables once it completes the expanded version sweep.

Blender 5.1 (samples/min)	Dell Pro Precision 5 14s Intel (Arc Pro B390)	Dell Pro Precision 5 14s AMD (Radeon 890M)	Dell Pro 5 14 Intel (Arc B390)
GPU
Monster	559.73	134.65	360.50
Junkshop	467.52	107.84	309.81
Classroom	418.63	95.60	232.02
CPU
Monster	131.04	130.35	70.12
Junkshop	97.86	100.31	52.95
Classroom	66.98	76.40	34.97

 

Blender 5.2 (samples/min)	Dell Pro Precision 5 14s Intel (Arc Pro B390)	Dell Pro Precision 5 14s AMD (Radeon 890M)
GPU
Monster	567.52	124.50
Junkshop	463.30	101.06
Classroom	417.38	82.95
CPU
Monster	133.46	127.02
Junkshop	94.27	95.84
Classroom	64.26	71.63

 

The Arc Pro B390 rendered Monster at 559.73 samples per minute in Blender 5.1, more than four times the Radeon 890M and 55 percent ahead of the Arc B390 in the Pro 5 14, and the 5.2 results hold the same level. On CPU rendering the Intel and AMD Precision twins trade scenes, with AMD’s extra threads winning Junkshop and Classroom, while the Pro 5 14 falls off sharply in the 5.x releases.

LuxMark

LuxMark measures GPU compute performance by rendering complex scenes through OpenCL, based on LuxCoreRender. We run the Food and Hall scenes on all available OpenCL devices in each system, so the GPU listed in each column header did the rendering. Higher scores are better.

LuxMark v4	Dell Pro Precision 5 14s Intel (Arc Pro B390)	Dell Pro Precision 5 14s AMD (Radeon 890M)	Dell Pro 5 14 Intel (Arc B390)	Lenovo ThinkPad P14s Gen 7 (RTX PRO 1000)
Hall	3,494	2,077	3,287	11,342
Food	1,705	1,041	1,585	4,103

 

The Arc Pro B390 led the integrated pack in both scenes, finishing 68% ahead of the Radeon 890M in Hall. The gap to its non-Pro sibling is modest here, unlike the Geekbench compute results, suggesting LuxCoreRender is less sensitive to the clock and driver differences between the two B390 variants.

V-Ray

Chaos V-Ray measures ray-traced rendering throughput, reported in vpaths, where higher is better. We run the CUDA-compatible engine on every system so results remain comparable to notebooks with only integrated graphics; on systems without a discrete GPU, that path executes on the integrated graphics, even though V-Ray reports the processor name in its device field. On dedicated NVIDIA hardware, we also capture V-Ray’s RTX engine, which engages the card’s ray tracing cores and is reported separately.

V-Ray GPU (vpaths)	Dell Pro Precision 5 14s Intel (Arc Pro B390)	Dell Pro Precision 5 14s AMD (Radeon 890M)	Dell Pro 5 14 Intel (Arc B390)	Lenovo ThinkPad P14s Gen 7 (RTX PRO 1000)
CUDA Engine	890	897	919	1,568
RTX Engine	N/A	N/A	N/A	2,589

 

The three integrated platforms cluster within about 3% of each other, an unusually tight grouping given how differently they behave elsewhere, which points to this compatibility path leaning on CPU and memory as much as the GPU. The ThinkPad pulls well clear on either engine.

3DMark CPU Profile

The 3DMark CPU Profile benchmark measures CPU performance at fixed thread counts, from a single thread up to the maximum available, showing how performance scales as more cores are engaged. Higher scores are better.

3DMark CPU Profile	Dell Pro Precision 5 14s Intel	Dell Pro Precision 5 14s AMD	Dell Pro 5 14 Intel	Lenovo ThinkPad P14s Gen 7
Max Threads	10,277	8,778	10,370	10,500
8 Threads	6,441	6,270	6,669	6,550
4 Threads	4,176	4,047	4,256	4,219
1 Thread	1,174	1,160	1,181	1,165

 

The four systems are effectively tied at every thread count except max, where the AMD unit trails; its strength in rendering workloads does not carry over to this physics test. The 16-inch 5 16s Intel posted the group’s best max threads result at 10,748, one of the few places its extra thermal headroom shows up.

3DMark Storage and Blackmagic Disk Speed Test

3DMark Storage measures how an SSD performs during gaming-related tasks such as loading games, installing software, saving progress, and moving game files. Blackmagic Disk Speed Test measures an SSD’s sequential read and write speeds using large media files. Higher is better in both.

Storage	Dell Pro Precision 5 14s Intel	Dell Pro Precision 5 14s AMD	Dell Pro 5 14 Intel	Lenovo ThinkPad P14s Gen 7
3DMark Storage	3,093	2,424	3,144	3,094
Blackmagic Write (MB/s)	9,000.8	4,772.0	8,747.3	8,262.3
Blackmagic Read (MB/s)	9,809.2	4,900.4	8,609.6	8,511.5

 

The review unit’s Micron 4600 posted the best sequential numbers in the group, reading at nearly 9.8 GB/s. The AMD twin ships with a Kioxia BG7 in this configuration and lands at roughly half the sequential throughput, a config difference worth noting for video-heavy workflows. Buyers of the 16-inch model should also know its drive tested lower here, with the 5 16s Intel’s SSD reaching 7,660 MB/s writes, and 8,418 MB/s reads and a 3DMark Storage score of 2,804, about 9% behind the 14s.

Blackmagic RAW Speed Test

The Blackmagic RAW Speed Test measures how many frames per second a system can decode Blackmagic RAW video on the CPU and on the GPU. We quote the 8K results at 12:1 compression, and higher is better.

Blackmagic RAW Speed Test	Dell Pro Precision 5 14s Intel (Arc Pro B390)	Dell Pro Precision 5 14s AMD (Radeon 890M)	Dell Pro 5 14 Intel (Arc B390)	Lenovo ThinkPad P14s Gen 7 (RTX PRO 1000)
8K 12:1 CPU (fps)	79	77	76	77
8K 12:1 GPU (fps)	85	49	86	96

 

Decode is effectively CPU-bound at these settings, with all four systems between 76 and 79 fps on the processor. On the GPU side, the RTX PRO 1000 leads at 96 fps through CUDA, the two B390-class systems decode in the mid-80s over OpenCL, and the Radeon 890M trails at 49 fps.

Topaz Video AI

The Topaz Video AI benchmark measures AI video upscaling and frame-interpolation performance in frames per second across the application’s enhancement models, run here at 1080p input, where higher is better. The Dell Pro 5 14 was not tested with Topaz, and the 16X Slowmo Aion model failed to complete on the review unit, an error we also saw on the 5 16s Intel; both AMD Precision units ran it without issue.

Topaz Video AI (fps)	Dell Pro Precision 5 14s Intel (Arc Pro B390)	Dell Pro Precision 5 14s AMD (Radeon 890M)	Lenovo ThinkPad P14s Gen 7 (RTX PRO 1000)
Artemis 1X / 2X / 4X	6.22 / 5.28 / 1.89	3.75 / 2.24 / 0.79	5.17 / 3.19 / 1.12
Iris 1X / 2X / 4X	5.18 / 3.14 / 0.94	4.86 / 2.70 / 0.86	5.91 / 3.12 / 1.01
Proteus 1X / 2X / 4X	6.43 / 6.08 / 2.46	3.93 / 2.69 / 1.19	4.78 / 3.14 / 1.05
Gaia 1X / 2X / 4X	3.24 / 2.25 / 1.50	1.90 / 1.35 / 0.94	1.62 / 1.13 / 0.79
Nyx 1X / 2X	1.57 / 1.54	1.86 / 1.56	2.40 / 2.09
Hyperion HDR 1X	3.22	11.34	14.56
4X Slowmo Apollo / APFast	8.57 / 22.13	6.05 / 17.72	10.39 / 29.94
16X Slowmo Aion	DNF	9.13	N/A

 

The Arc Pro B390 won most of the upscaling models outright, including a wide lead in Proteus and Gaia, and even beat the RTX PRO 1000 in several. The pattern flips in Hyperion HDR and the interpolation models, where NVIDIA and AMD hold clear advantages, and the Aion failure on Intel graphics is worth watching for anyone whose pipeline depends on 16X slow motion.

UL Procyon AI Text Generation

The Procyon AI Text Generation Benchmark streamlines LLM performance testing by providing a concise, consistent evaluation method. It enables repeated testing across four local models, Phi, Mistral, Llama3, and Llama2, while minimizing the complexity of large models and the number of variables. Developed with AI hardware leaders, it optimizes the use of local AI accelerators to deliver more reliable, efficient performance assessments. All four systems ran the models through ONNX Runtime with DirectML on their GPUs.

Procyon AI Text Generation	Dell Pro Precision 5 14s Intel (Arc Pro B390)	Dell Pro Precision 5 14s AMD (Radeon 890M)	Dell Pro 5 14 Intel (Arc B390)	Lenovo ThinkPad P14s Gen 7 (RTX PRO 1000)
Phi	887	424	904	1,618
Mistral	646	396	716	1,397
Llama3	674	352	708	1,252
Llama2	786	379	641	DNF

 

The two B390-class systems hold a wide lead over the Radeon 890M across all four models, ranging from 63% in Mistral to more than double in Phi, and the review unit’s 64GB memory pool lets it finish Llama2 at 786, a model the 8GB RTX PRO 1000 could not load at all. For smaller models, the dGPU’s bandwidth still wins decisively.

UL Procyon AI Computer Vision

The Procyon AI Computer Vision Benchmark measures AI inference performance across CPUs, GPUs, and dedicated accelerators using a range of neural networks, evaluating tasks such as image classification, object detection, segmentation, and super-resolution with models including MobileNet V3, Inception V4, YOLO V3, DeepLab V3, Real ESRGAN, and ResNet 50. The WinML runs use float32 on CPU and GPU, giving a like-for-like view across vendors. We also run the newer Computer Vision 2 suite through each vendor’s native path: OpenVINO in int8 on the Intel NPU and fp16 on its iGPU, and Ryzen AI on the AMD NPU; those results are listed separately since precision and runtime differ by platform. Higher scores are better.

Procyon AI Computer Vision (WinML)	Dell Pro Precision 5 14s Intel	Dell Pro Precision 5 14s AMD	Dell Pro 5 14 Intel	Lenovo ThinkPad P14s Gen 7
CPU	141	106	119	134
GPU	404	247	398	426

Procyon AI Computer Vision 2 (native runtimes)	Dell Pro Precision 5 14s Intel	Dell Pro Precision 5 14s AMD
NPU (int8)	1,647	1,176
iGPU (fp16)	1,517	N/A

 

In the vendor-neutral WinML view, the review unit leads on both CPU and lands within 5% of the ThinkPad’s dGPU on graphics. On the native path, Intel’s AI Boost NPU scored 1,647 in Computer Vision 2, 40% ahead of the Ryzen AI NPU, and notably, the B390 iGPU nearly matches the NPU while the NPU sips a fraction of the power.

UL Procyon AI Image Generation

The Procyon AI Image Generation Benchmark provides a consistent method for measuring AI inference performance from low-power NPUs to high-end GPUs, with three tests: Stable Diffusion XL FP16 for high-end GPUs, Stable Diffusion 1.5 FP16 for moderately powerful GPUs, and Stable Diffusion 1.5 INT8 for low-power devices. The benchmark uses the optimal inference path for each platform: OpenVINO on Intel systems, the AMD-optimized DirectML pipeline on Radeon, and TensorRT on NVIDIA GPUs. The INT8 test uses Intel’s quantized SD 1.5 model where supported; the AMD pipeline does not offer a comparable quantized run, so that cell is blank pending a supported path. New with this round, we also ran the INT8 workload on the Intel NPU.

Procyon AI Image Generation	Dell Pro Precision 5 14s Intel (Arc Pro B390)	Dell Pro Precision 5 14s AMD (Radeon 890M)	Dell Pro 5 14 Intel (Arc B390)	Lenovo ThinkPad P14s Gen 7 (RTX PRO 1000)
SD 1.5 FP16	632	281	635	943
SD 1.5 INT8	7,873	N/A	7,693	12,403
SDXL FP16	731	197	646	765
SD 1.5 INT8 NPU	3,003	N/A	N/A	N/A

 

At 51.3 seconds per SDXL image, the review unit came within 5% of the RTX PRO 1000, a result that would have been hard to believe from integrated graphics a generation ago, and its SDXL score of 731 beat the Pro 5 14 by 13%. The NPU run is the first we have recorded on this workload; at 3,003, it delivers roughly 38% of the iGPU’s INT8 throughput while leaving the GPU free, a useful trade for background generation tasks. Note that scores are not comparable between the FP16 and INT8 rows since the workloads use different batch sizes and step counts.

SPECviewperf 15

SPECviewperf 15 measures graphics performance using viewsets derived from professional applications in CAD, 3D modeling, rendering, engineering, and medical visualization, replayed here at 1080p. Higher scores are better, although performance can vary considerably between applications and graphics architectures. The Catia-07 viewset failed to complete on the review unit across multiple runs, and Enscape-01 failed on the AMD Twin; we will update if new driver releases resolve either.

SPECviewperf 15 (FHD)	Dell Pro Precision 5 14s Intel (Arc Pro B390)	Dell Pro Precision 5 14s AMD (Radeon 890M)	Dell Pro 5 14 Intel (Arc B390)	Lenovo ThinkPad P14s Gen 7 (RTX PRO 1000)
3dsmax-08	19.51	26.30	20.21	28.20
blender-01	21.55	23.01	21.19	40.69
catia-07	DNF	22.70	10.27	43.36
creo-04	63.57	49.27	32.53	107.59
energy-04	38.07	29.51	10.78	45.79
enscape-01	14.92	DNF	14.28	25.45
maya-07	83.86	53.30	82.42	112.84
medical-04	69.41	73.42	22.96	86.38
snx-05	78.74	59.58	46.22	103.61
solidworks-08	33.38	36.66	23.60	53.63
unreal_engine-01	41.38	27.31	38.77	49.24

 

This table justifies the Pro in Arc Pro. The review unit beat the standard B390 by wide margins in the ISV viewsets that lean on certified driver paths, roughly doubling it in creo-04 and tripling it in energy-04 and medical-04, while the two trade places in the game-engine and DCC traces where certification matters less. The Radeon 890M wins a handful of viewsets, and the RTX PRO 1000 sweeps all eleven.

SPECworkstation 4

SPECworkstation 4 measures workstation performance across CPU, graphics, storage, AI, product design, engineering, financial services, and other professional workloads, using real applications grouped into seven industry verticals. Higher scores are better, and N/A means the system did not complete every workload required for that category. The NAMD workload failed repeatedly on the review unit, which also suppresses its Life Sciences vertical and CPU subsystem scores; the other three systems completed their runs, though the Pro 5 14’s HandBrake failure removes its Media and Entertainment vertical.

SPECworkstation 4	Dell Pro Precision 5 14s Intel	Dell Pro Precision 5 14s AMD	Dell Pro 5 14 Intel	Lenovo ThinkPad P14s Gen 7
Hardware Subsystems
Graphics	2.70	2.57	1.68	4.51
Accelerator	2.29	2.22	N/A	3.26
Storage	1.70	0.93	1.76	1.67
CPU	N/A	1.15	1.19	1.35
Industry Verticals
AI & Machine Learning	1.45	1.38	1.36	1.65
Energy	1.67	1.28	1.18	1.69
Financial Services	0.93	1.07	0.78	0.96
Life Sciences	N/A	1.41	1.34	1.82
Media & Entertainment	1.53	1.39	N/A	1.81
Product Design	1.80	1.34	1.64	1.89
Productivity & Development	1.32	1.03	1.10	1.34

 

The review unit’s Graphics and Accelerator subsystem scores clear the AMD twin and post the biggest gap over the standard Pro 5 14, again reflecting the Pro driver stack. It leads the Dell group in five of the six verticals it completed. The ThinkPad’s dGPU keeps it on top overall. The AMD unit’s 0.93 Storage score tracks with its slower Kioxia drive.

Conclusion

For configuration options and current pricing, visit the Dell Pro Precision 5 Series 14S product page.

Leaderboard: The Dell Pro Precision 5 14s Intel is our Best Ultraportable Workstation on the Best Mobile Workstations leaderboard.

Leaderboard: The Dell Pro Precision 5 14s Intel holds the Best Without a Discrete GPU spot on the Best Laptops for Local AI leaderboard.

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CoreWeave said on August 5 that it has signed a multi-year agreement with Solidigm for priority access to enterprise SSD capacity. Storage has become the second component after GPUs that an AI cloud has to contract for years in advance, and CoreWeave has now done for flash what cloud providers spent the first half of 2026 doing for DRAM.

What the Agreement Says, and What It Does Not

The disclosed terms amount to three things: the agreement is multi-year, it covers priority access to enterprise SSD capacity, and it is meant to keep storage scaling with customer demand on CoreWeave’s integrated AI cloud platform.

What both executives chose to talk about is telling. Sachin Jain, chief operating officer at CoreWeave, framed it entirely around supply certainty: the agreement “gives us priority access to the storage our roadmap depends on, allowing customers to focus on what they are building instead of the infrastructure underneath it.” Paul Palonsky, executive vice president and head of global sales at Solidigm, said that the agreement “reflects the confidence Solidigm has in CoreWeave’s growth and its position as a full-stack AI cloud provider.” CoreWeave’s own framing in the release is that storage has become a critical constraint in capacity planning as enterprise AI adoption accelerates and industry-wide storage supply tightens.

Why Flash Allocation Became a Scheduling Problem

The memory market explains the deal better than the press release does. TrendForce projects NAND flash contract prices rising 10 to 15 percent quarter over quarter in the third quarter of 2026, with conventional DRAM up 13 to 18 percent, and describes the DRAM market as extremely tight. Enterprise SSD supply is the one bright spot in that picture, improving as vendors shift capacity away from consumer segments. However, TrendForce still expects a clear NAND shortage across 2026, with meaningful capacity expansion unlikely before late 2027 or 2028.

Buried in the same forecast is the mechanism behind this announcement. TrendForce notes that price gains are moderating in part because long-term supply agreements now govern a portion of procurement, and its earlier take on the year was that cloud providers are willing to accept higher prices and sign LTAs to secure stable supply. An LTA is what a buyer signs when the binding constraint is allocation rather than price. CoreWeave is not trying to get cheaper SSDs; it’s just trying to be first in line.

The pattern is not confined to flash. Western Digital told investors last week that its hard drive long-term agreements now extend into calendar 2029 through 2031, which we covered in our look at WD shipping 40TB UltraSMR drives. On the supply side, SK hynix is committing KRW 100 trillion to its Cheongju fabs precisely because AI has pushed NAND demand past supply. Every layer of the storage stack is being contracted forward at once.

What CoreWeave Is Actually Buying

CoreWeave is large enough that a supply agreement is a major commitment on Solidigm’s side. First quarter 2026 revenue was $2.078 billion, up 111.6 percent year over year, against a revenue backlog of $99.4 billion as of March 31. The company spent $7.695 billion on property, equipment, and capitalized software in that quarter alone, guided full-year 2026 capital expenditures to a range of $31 billion to $35 billion, and crossed 1GW of active power with more than 3.5GW contracted. Storage is a small slice of that capex next to GPUs and buildings, but the absolute number is still large, and it has to arrive on the same schedule as everything else.

An AI cloud consumes enterprise SSD capacity in three places. Checkpointing during training writes enormous files at high frequency. Object storage tiers feed data to GPU nodes fast enough to keep them busy, which is the problem CoreWeave was addressing when it removed egress fees from data migration in its zero egress migration push. The third is newer and growing fastest: KV cache offload during inference.

We have measured that last one directly on Solidigm hardware. In our testing of KV cache offload to flash, a Dell PowerEdge XE7740 with four NVIDIA RTX PRO 6000 Blackwell GPUs and eight Solidigm D7-PS1030 12.8TB drives cut worst-case time to first token on resumed sessions from 13.9 seconds to 3.2 seconds. It held roughly 30,000 tokens per second at sustained load, 2.2 times the VRAM-only baseline. Moving KV cache off VRAM onto flash converts a memory capacity ceiling into a storage capacity purchase. Every AI cloud that adopts it needs more SSDs than it did the year before, and that ramp isn’t slowing.

Density is the other half of the argument. Solidigm’s current flagship is the D5-P5336, a 122.88TB drive built on 192-layer QLC NAND, which we reviewed last year at 7GB/s sequential reads and 900,000 IOPS on 4K random reads, drawing 24W active with a 0.6 DWPD endurance rating. In a Dell PowerEdge R7725xd, that capacity point puts nearly 3PB in a single chassis. For an operator filling gigawatts of contracted power, the difference between 61.44TB and 122.88TB per bay is measured in racks, floor space, and switch ports, not just in dollars per terabyte.

Solidigm’s Side of the Timing

The same day CoreWeave published this release, the Korea Economic Daily reported that Solidigm was pursuing a pre-IPO capital raise ahead of a possible Nasdaq listing, with figures in the coverage ranging from roughly 5 trillion to 10 trillion won. SK hynix responded the next day in a regulatory filing, saying that its overseas subsidiary “is reviewing various measures to strengthen its competitiveness” but that “no matters have been determined as of the date hereof.” The company committed to disclosing details either when they are confirmed or within one month of that August 6 filing.

So the raise is unconfirmed, and the reported figures do not agree with each other. What is on the record is that SK hynix reorganized its wholly owned US NAND unit under a new California entity in January, with Solidigm described as the anchor asset of a $10 billion American AI investment vehicle, and that the company now has a self-imposed September deadline to say more. A marquee multi-year supply agreement with the highest-profile AI cloud on the market is a useful item to have on the sheet during a month like that. Neither company drew the connection, and we are not suggesting the announcement was timed to anything, but the sequence is worth considering when reading a release this light on specifics.

Solidigm has also said where its capacity ceiling is headed. Roger Corell, the company’s senior director of AI and leadership marketing, has stated publicly that Solidigm plans to ship 245TB-class drives before the end of 2026. That would match the density Micron reached with the 6600 ION, which we put through the lab in June at a quarter petabyte per drive bay. Solidigm does not pre-announce products, so there is no SKU or date beyond that statement.

What to Watch

Three things will show whether this release is a milestone or a placeholder. The first is whether either company ever attaches a number to it. Multi-year with no capacity, no term, and no value is a signal to customers and investors rather than a contract disclosure. If a figure surfaces later in a CoreWeave filing, it will be worth comparing against the language used here.

The second is whether the 245TB-class Solidigm drive ships on the stated timeline and whether CoreWeave is an early taker. Priority access matters most at the top of the capacity stack, where allocation is tightest, and the rack math changes the most.

The third is whether other AI clouds follow with named SSD supply agreements of their own. Power contracts are already standard disclosure for this class of operator. If flash allocation joins them, this announcement will signal the first of a pattern rather than a one-off. There is a nearer date than that, too: SK hynix has told regulators it will say more about Solidigm’s capital plans by early September, and whatever it discloses will set the context for how much weight this agreement was meant to carry.

The post CoreWeave Locks In Solidigm SSD Supply as Flash Allocation Becomes an AI Cloud Problem appeared first on StorageReview.com.

Western Digital started shipping its next-generation ePMR nearline platform at up to 40TB per drive during the quarter that ended July 3, and told investors on August 5 that its 44TB HAMR drive remains on track for the first half of calendar 2027. The company shipped 231 exabytes in the quarter, 209 of which were nearline, and expects the 40TB platform to account for more than half of nearline exabytes by the third quarter of calendar 2027. That is a lot of roadmap for a single earnings call, and it comes against Seagate, which is already shipping the capacity point that WD is still qualifying.

40TB ePMR and UltraSMR, Shipping Now

The 40TB drive is not a HAMR product. It combines ePMR with UltraSMR, WD’s shingled implementation, and it is the drive the company previewed at its Innovation Day in February, when it was described as in customer qualification with volume production targeted for the second half of calendar 2026; it arrived on schedule.

Two adoption targets came with it. WD expects the 40TB platform to exceed 50% of nearline exabytes by Q3 calendar 2027, and UltraSMR across all capacities to reach roughly 60% of nearline exabyte shipments by the end of fiscal 2027. The second number is interesting. Shingled media buys capacity without new recording physics, but it does so by making track rewrites more expensive, which is why UltraSMR adoption has always been gated by how much of a hyperscaler’s fleet can tolerate the write behavior. Sixty percent of nearline exabytes would be the highest share WD has committed to publicly.

44TB HAMR: 4TB Per Platter, 11 Disks

WD’s HAMR drive reaches 44TB with 4TB per platter across an 11-disk stack, and the company’s stated design goal is that customers see performance interchangeable with ePMR so the two can be deployed side by side. Management said qualifications are progressing with positive customer feedback and reiterated the first half of calendar 2027 for shipment. Seagate reaches the same 44TB with 10 disks at roughly 4.4TB each, which means Seagate is running a higher areal density per platter, and WD is closing the gap with an extra disk in the stack.

The Path Past 44TB

WD’s published roadmap runs two capacity lines in parallel through 2032. HAMR goes 40TB in 2026, 44TB in 2027, 60TB in 2028, and 100TB in 2029 with a dotted continuation past that. ePMR runs 40TB in 2026 and 60TB in 2028, which is compelling: WD says it can take a non-HAMR recording technology to 60TB by borrowing HAMR-derived media and firmware work, moving to 14 platters, and holding power flat.

For the 100TB target, WD’s stated components are its own laser technology in place of a conventional edge-emitting laser, areal density supporting up to 10TB per platter, and a 14-disk stack. Fourteen platters at 10TB each would be 140TB, so the 100TB figure implies roughly 7.1TB per platter and leaves headroom in the stated ceiling. Whether that headroom survives contact with yield is a future WD question.

Calendar Year	HAMR	ePMR
2026	40TB	40TB (UltraSMR, shipping)
2027	44TB (H1)	n/a
2028	60TB	60TB
2029	100TB	n/a

Source: Western Digital Innovation Day, February 3, 2026, and Q4 FY2026 earnings call, August 5, 2026. Vendor-stated figures.

High Bandwidth Technology

WD said its High Bandwidth Drive technology is now sampling with five customers, offering up to 8x throughput with no corresponding increase in power. The company demonstrated 2x at Innovation Day and targets 8x by 2030.

Current nearline drives run roughly 250 to 275MB/s sustained; Seagate’s 44TB Mozaic 4+ is rated around 300MB/s. A 2x HBD drive clears 500MB/s. At 8x the theoretical range, it runs past 2,000MB/s, which puts a single spindle withing range of NVMe SSD territory for sequential work while keeping the HDD cost structure. WD frames the goal as maintaining a 6-10x cost advantage over QLC flash as capacities climb.

Sitting behind HBD on the roadmap is Dual Pivot, a second independently operating actuator set that WD says doubles transactions per second, something we’ve seen riffs on before. It is a lab technology today, with availability targeted for 2028, and it stacks with HBD.

The reason this matters more than another 4TB of capacity: AI training pipelines are increasingly bottlenecked on how fast data moves out of the capacity tier during ingestion and preparation, not on how much of it fits. Per-drive sequential bandwidth has been flat for years while capacity kept climbing, which quietly made every large-capacity fleet slower to rebuild and slower to drain. If WD ships 500MB/s-plus nearline drives at anything like current cost, that could change the arithmetic on where the warm tier ends and flash begins.

Power-optimized drives, due to start customer qualification in 2027, trade 5-10% performance for a 20% power reduction and 10% more capacity, aimed at the gap between warm and cold tiers. An intelligent platform layer combining SSD, HDD, and software-defined abstraction is targeted for 2027 for customers operating at 200PB and up.

Where This Leaves the Seagate Comparison

Specification	Western Digital	Seagate
Capacity and Technology
Highest capacity shipping	40TB ePMR / UltraSMR	44TB HAMR (Mozaic 4)
Per-disk capacity at top node	4TB (44TB HAMR, 11 platters)	4+TB (Mozaic 4; platter count not disclosed)
44TB status	H1 CY2027, in customer qualification	Shipping since March, ramped through June quarter
HAMR share of nearline exabytes	Not disclosed	About 40% exiting the fiscal year
Next capacity node	60TB (44TB goes straight to 60TB on the published roadmap)	Mozaic 5 at 5+TB per disk, qualification shipments late CY2027
Fiscal Q4 2026, quarter ended July 3
Revenue	$3.747B, up 44% YoY	$3.629B, up 48.5% YoY
Fiscal year revenue	$12.919B	$12.195B
Non-GAAP gross margin	54.4%	52.7%
Total exabytes shipped	231EB, up 22% YoY	218EB, up 34% YoY
Data center exabytes	209EB nearline, up 5% sequentially	195EB, up 11% sequentially
Data center share of revenue	90%	89%
Blended revenue per terabyte	$16.22	$16.65
Q1 FY2027 revenue guidance	$4.1B +/- $100M	$4.1B +/- $100M

Sources: Western Digital Q4 FY2026 earnings deck and press release (August 5, 2026) and Innovation Day (February 3, 2026); Seagate fiscal Q4 2026 press release and earnings call (July 28, 2026); Toshiba nearline HDD sampling announcement (March 30, 2026). Blended revenue per terabyte is our own calculation from each company’s reported quarterly revenue and total exabytes, and mixes nearline with non-nearline, so treat it as directional. Both companies ended their fiscal year on July 3, 2026.

Seagate is ahead in the field on HAMR, and Toshiba is not close. Toshiba began sampling its highest-capacity nearline drives, 30 to 34TB, in late March, and those use FC-MAMR with shingled recording rather than HAMR; its CMR models top out at 28TB with sample shipments slated for the third quarter of 2026. Toshiba says HAMR products are planned for “upcoming quarters,” which puts it a full recording generation behind both rivals while it is still sampling capacities the other two shipped years ago. CEO Dave Mosley told investors that HAMR-based products represented roughly 40% of Seagate’s nearline exabyte shipment run rate exiting the year, and CFO Gianluca Romano confirmed the company hit its 40% milestone by June. Mozaic 4, the platform that carries Seagate toward 100TB, supports up to 44TB per drive and began shipping in March. WD gets to that capacity a year later on HAMR but is not conceding capacity in the meantime, because UltraSMR closes most of the gap at 40TB without requiring a new recording technology to yield at volume.

The two roadmaps converge on economics rather than capacity. Both companies guided next-quarter revenue to exactly $4.1B plus or minus $100M, both ended the June quarter with data center at roughly 90% of revenue, and both are selling every drive they can build. So the question is not who wins the capacity race, since neither is supply-constrained by demand, but who converts capacity into margin faster.

One caveat on the “Seagate is a year ahead” framing: WD’s own roadmap places a 40TB HAMR product in calendar 2026, and the company has not disclosed what share of its nearline exabytes ships on HAMR today. Its Q4 shipping disclosure was the ePMR drive. Until WD gives a HAMR mix number the way Seagate does, the comparison is between a disclosed figure and an unknown one. The exabyte trend cuts the other way, though: Seagate grew total exabytes 34% year over year against WD’s 22%, and lifted data center exabytes 11% sequentially, where WD managed 5%. Whatever HAMR is costing Seagate in yield, it is not costing it volume.

What to Watch

The capacity race gets the headlines, and on that count, Seagate is ahead: 44TB drives in production, roughly 40% of nearline exabytes already on HAMR, and a 5TB-per-disk platform lined up behind it. WD’s answer is that it doesn’t have to win that race on Seagate’s terms. UltraSMR closes most of the gap at 40TB without new recording physics, and the ePMR line runs to 60TB in 2028, which means WD can defer full HAMR dependence considerably longer than a side-by-side capacity chart suggests.

The bet worth watching has nothing to do with terabytes, though. Every drive on both roadmaps still reads at roughly 250 to 300MB/s. At that rate, a 100TB drive takes more than four days to read end to end, and a 60TB drive takes two and a half. Rebuild windows, ingestion throughput, and how long a pipeline waits on the capacity tier are what increasingly decide whether hard drives stay in the AI data path at all, and none of those improve when the only thing that grows is areal density. High Bandwidth Drive is the one item on either company’s public roadmap aimed squarely at that problem. WD has demonstrated 2x and is targeting 8x by 2030, which would pull that 100TB full-drive read down from four days to about half a day.

That said, It’s also the least proven thing WD showed. HBD is sampling with five customers, not shipping broadly, and Dual Pivot is a lab technology with a 2028 target. If they release as expected, the capacity ladder becomes a secondary question, and the warm tier argument may win out. If they slip, both vendors spend the rest of the decade building larger drives that take proportionally longer to fill and empty, and flash keeps eating into the capacity tier regardless of who reaches 100TB first.

Western Digital Ultrastar Data Center Drives

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Sandisk and SK hynix have released the first HBF (High Bandwidth Flash) technical specification through the Open Compute Project, six months after the two companies formed the HBF workstream in February. Google and Tenstorrent joined the consortium during the standardization process, and the spec is now openly available to any company designing AI inference systems or accelerators.

HBF is a NAND-based answer to a DRAM problem. AI inference wants high-bandwidth memory close to compute, but HBM capacity is limited and expensive, while model sizes and context windows keep growing. HBF slots between the two extremes: flash-based stacks that trade some of HBM’s speed for far greater capacity and persistence, giving system designers a tier for model weights and long-context data that no longer fits in DRAM but cannot live on an SSD.

The specification puts real numbers behind the concept. Per SK hynix, HBF stacks come in 8-high and 16-high NAND configurations at up to 512GB per stack, with three performance grades spanning 0.4TB/s to 3.0TB/s, connected over the UCIe standard. The document defines the xPU-HBF host interface, electrical guidelines, baseline performance expectations, reliability and packaging guidance for an HBF die stack, and a software user guide for read and write operations. The companies designed the spec so HBF can coexist with HBM in the same system rather than replace it.

Sandisk and SK hynix are explicit about the strategy: publish early and openly through OCP to position HBF as the de facto standard for the AI storage market before rivals define an alternative. “AI inference is creating a new set of memory requirements, and HBF technology is designed to meet that moment,” said Alper Ilkbahar, chief technology officer at Sandisk, calling the spec a milestone “for the next generation of AI systems built to improve token economics at scale.” The capacity math is the same one driving KV cache offload to flash: keeping context in a cheaper, denser tier raises how many tokens and users each accelerator can serve.

BiCS10 QLC Claims the Density Crown

Sandisk’s other FMS announcement came with Kioxia: BiCS10 QLC, the pair’s tenth-generation quad-level-cell 3D NAND. The companies say the new die delivers a 60% bit density increase over their 8th-generation QLC and, at more than 37Gb/mm², the industry’s highest bit density for QLC NAND. It carries the same 332 active layers as the BiCS10 TLC die that began sampling in July, built on the same CBA (CMOS directly Bonded to Array) process that manufactures logic and memory array on separate wafers before bonding them.

On the interface side, BiCS10 QLC runs Toggle DDR6.0 at 4.8Gb/s with a Separate Command Address protocol, and adds Power-Isolated Low-Tapped Termination to improve data-out transfer efficiency. “Our 10th-generation QLC 3D flash memory delivers simultaneous gains in density, bandwidth, and energy efficiency,” Ilkbahar said, while Kioxia CTO Hideshi Miyajima pointed at the target market: efficiently storing rapidly expanding data volumes for AI systems. Neither company gave a sampling date for the QLC die.

Keynote Wednesday, Memory Wall Panel Thursday

Sandisk’s FMS keynote, “NAND: The Versatile & Scalable Foundation of the AI Era,” runs Wednesday, August 5 at 11:40 a.m. PT, presented by chief revenue officer Jim Elliott, chief product officer Khurram Ismail, and Ilkbahar. On Thursday at 9:45 a.m. PT, Sandisk, SK hynix, and Google share a panel titled “Breaking the Memory Wall with High Bandwidth Flash,” moderated by Tom Coughlin, digging into architectural integration, standardization timelines, and the economics of the new tier. Sandisk is showing HBF, next-generation NAND, enterprise SSDs, and its updated AI Data Cycle framework at booth #607.

The spec release comes in a week thick with memory-hierarchy news; Samsung used its own FMS keynote to preview zHBM and zNAND-O concepts aimed at the same AI inference wall. The difference is that HBF now has a published, open specification behind it, and with Google and Tenstorrent already in the consortium, the standards race for flash-as-memory has a front-runner. All figures above are vendor-stated; we hope to see HBF hardware in the lab before anyone ships production systems built on it.

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Lenovo’s ThinkPad P14s Gen 7 packs a Series 3 Intel Core Ultra 7 366H with Intel vPro and NVIDIA’s RTX PRO 1000 Blackwell Generation laptop GPU into a 14.5-inch mobile workstation that starts at 3.59 pounds. Our review unit backs that pairing with 64GB of LPCAMM2 memory in a single customer-replaceable module, a 2TB PCIe Gen5 SSD, and a 3K 120Hz display. This configuration is aimed at engineers and content professionals who need workstation graphics and ISV certifications in a chassis that travels like a mainstream business laptop. At the time of this review, Lenovo lists the equivalent retail configuration, model 21XJ0038US, at a discounted web price of $4,703.16.

The configuration does well in the lab. The P14s Gen 7 posted a PCMark 10 score of 9,083 and a Cinebench R23 multicore result of 18,546. At the same time, the RTX PRO 1000 pushed Blender 4.5 rendering roughly 29% past the RTX PRO 500 in last year’s P14s Gen 6 and carried UL Procyon’s AI Image Generation suite to 2.5 seconds per image in Stable Diffusion 1.5 INT8. It did all of that and still ran 15 hours and 52 minutes in our PCMark 10 Modern Office battery test, four hours longer than its predecessor.

This review examines how far the 14-inch P-series has come in a single generation, and what the 8GB GDDR7 workstation GPU can and cannot do. We tested the P14s Gen 7 against its direct predecessor, the larger Dell Pro Max 16 with the same RTX PRO 1000 GPU, and the Dell Pro 7 14, which uses the same Core Ultra 7 366H processor but lacks discrete graphics.

Design and Build

This generation of the ThinkPad P14s Gen 7 uses a larger 14.5-inch chassis but remains easy to carry as a mobile workstation. It starts at 3.59 pounds and measures 325.2 mm wide by 226.3 mm deep. The chassis is 11.7 mm at the front and rises to 16.22 mm, with Lenovo listing a maximum height of 22.2 mm at the rear. It has also been tested against MIL-STD-810H procedures for durability.

Flipping the P14s Gen 7 over reveals a straightforward bottom panel, with two large ventilation areas positioned above the cooling fans. A long rubber strip near the hinge and two smaller feet at the front keep the laptop steady while leaving enough space underneath for airflow. The panel is held in place by several visible screws and can be removed to access the battery, LPCAMM2 memory, SSD, and cooling system.

Removing the bottom panel provides access to the customer-replaceable 75 Wh battery, Gen5 M.2 SSD, and single LPCAMM2 memory module. LPCAMM2 delivers the speed and efficiency of LPDDR5x memory without permanently soldering it to the motherboard. The P14s Gen 7 also carries ISV certifications from Altair, ANSYS, Autodesk, AVID, Bentley, Dassault, Nemetschek, PTC, and Siemens.

Upgradability and Warranty

The P14s Gen 7 leaves more room to grow than most thin 14-inch machines. The single LPCAMM2 slot accepts modules up to 96GB, so memory can be upgraded or replaced years into a deployment instead of being soldered for life, and the Gen5 M.2 2280 bay takes drives up to 2TB, though a user could swap that for something else larger. With the battery and keyboard also serviceable, the practical service life stretches well past what sealed designs allow.

Lenovo covers the retail configuration with a one-year courier or carry-in warranty, with Premier Support, Premier Support Plus, and Accidental Damage Protection available as upgrades for fleets that need faster turnaround or on-site coverage.

Display and Input

Our review unit has the top 14.5-inch 3K IPS display, with a 3072 x 1920 resolution, 16:10 aspect ratio, 500-nit brightness, 120 Hz refresh rate, and full DCI-P3 coverage. The panel has an anti-glare finish, Eyesafe certification, and timing controller color calibration. Lenovo also offers lower-resolution WUXGA touch and non-touch panels for those who do not need the added resolution or color coverage.

The spill-resistant keyboard has LED backlighting and a dedicated Copilot key, along with the familiar red TrackPoint and three physical buttons above the touchpad.

The trackpad itself is 4.53 inches wide with a glass-like Mylar surface. There is plenty of room for everyday navigation and Windows gestures, though the three physical TrackPoint buttons above it reduce its height somewhat. Longtime ThinkPad users should feel at home with this layout, which lets you choose between the trackpad and the red TrackPoint without giving up dedicated left, middle, and right buttons.

The 5MP RGB and infrared camera supports Windows Hello facial recognition, which worked quickly and made signing in easier without needing to reach for the fingerprint reader. It also supports presence detection, allowing the laptop to lock when you step away and wake when you return. A physical privacy shutter covers the camera when it is not in use.

Ports and Connectivity

The ThinkPad P14s Gen 7 has two Thunderbolt 4 USB-C ports and two 5Gbps USB Type-A ports, including one with always-on charging. It also provides HDMI 2.1 TMDS, Gigabit Ethernet, an SD Express 8.0 card reader, and a combined audio jack. The built-in Ethernet and high-speed SD card reader are especially useful (and rare) on a mobile workstation, where adapters are often required for either connection. An optional smart-card reader is also available.

For wireless connectivity, it features an Intel Wi-Fi 7 BE211 2×2 adapter with Bluetooth 6. Lenovo also offers optional Snapdragon X61 5G connectivity with eSIM support and optional NFC. The system charges through USB-C using the included slim 100 W adapter.

Security and Manageability

The Core Ultra 7 366H supports Intel vPro and Active Management Technology, giving IT teams out-of-band access to diagnose, configure, and support the laptop even when the operating system is unavailable. Intel Hardware Shield protects the operating system, while Threat Detection Technology works with compatible security software to help identify certain attacks, and the Stable IT Platform Program gives businesses a more consistent hardware and software platform across larger deployments.

Lenovo builds on those capabilities with its ThinkShield security features, including a discrete TPM 2.0 chip and Self-Healing BIOS. Our configuration also includes a touch-style fingerprint reader, Windows Hello facial recognition, and presence detection, which (as mentioned earlier) can lock the laptop when you leave and wake it when you return. A physical webcam shutter and Kensington lock slot provide more direct security options, and NFC is available on select configurations.

For day-to-day management, Lenovo preloads Commercial Vantage to handle driver, firmware, and system updates, and the P series supports Lenovo Performance Tuner, a free utility that matches power, thermal, and process settings to professional applications. Paired with the out-of-band access vPro provides, IT can provision, update, and troubleshoot the P14s Gen 7 remotely across its service life.

Lenovo ThinkPad P14s Gen 7 Specifications

Specification	Lenovo ThinkPad P14s Gen 7 (21XJ0032US)
Platform Overview
Processor	Series 3 Intel Core Ultra 7 366H with Intel vPro 16 cores, up to 4.8 GHz 50 TOPS NPU (Copilot+ PC)
Graphics	NVIDIA RTX PRO 1000 Blackwell Generation Laptop GPU, 8GB GDDR7 Integrated Intel Graphics
Memory	64GB LPDDR5x-7467 LPCAMM2 1 slot, customer replaceable, up to 96GB
Storage	2TB PCIe Gen5 NVMe SSD (SK hynix)
Display	14.5-inch 3K (3072 x 1920) IPS, 16:10 500 nits, 120Hz, 100% DCI-P3, anti-glare, Eyesafe
Connectivity
Ports	2x Thunderbolt 4 (USB-C) 2x USB-A 3.1 5Gbps (1 always-on) HDMI 2.1 (TMDS) RJ45 Gigabit Ethernet SD Express 8.0 card reader Mic/headphone combo jack Optional smart card reader
Wireless	Intel Wi-Fi 7 BE211 2×2 + Bluetooth 6 Optional Snapdragon X61 5G with eSIM
Camera	5MP RGB + IR with privacy shutter Windows Hello, presence detection
Power and Build
Battery	75Wh, customer replaceable, Rapid Charge 100W USB-C slim adapter
Chassis	From 3.59 lb / 1.63 kg MIL-STD-810H tested
Security and Software
Security	Intel vPro (AMT, Hardware Shield, TDT, SIPP) Lenovo ThinkShield, dTPM 2.0, Self-Healing BIOS Touch fingerprint reader, webcam privacy shutter
Operating System	Windows 11 Pro
Warranty	1-year courier or carry-in (retail configuration) Premier Support, Premier Support Plus, ADP optional
Price as Tested	$4,703.16 (Lenovo.com web price; $5,599.00 estimated value)

Performance

To put the ThinkPad P14s Gen 7 in context, we compared it against three systems from our recent laptop testing. The ThinkPad P14s Gen 6 is its direct predecessor, built on the Core Ultra 7 265H and RTX PRO 500 Blackwell. The Dell Pro Max 16 carries the same RTX PRO 1000 Blackwell GPU in a larger 16-inch chassis, paired with an AMD Ryzen AI 9 HX PRO 370. The Dell Pro 7 14 runs the same Core Ultra 7 366H processor as the P14s Gen 7 with only integrated graphics, which isolates exactly what the discrete GPU adds.

This review is also our first to include Cinebench 2026 and Geekbench 7, which are entering our benchmark suite alongside the previous versions. Where the comparison systems predate those tests, their rows will fill in as units return to the lab.

Test Systems

Configuration	ThinkPad P14s Gen 7	ThinkPad P14s Gen 6	Dell Pro Max 16	Dell Pro 7 14 (Intel)
CPU	Core Ultra 7 366H (16C)	Core Ultra 7 265H (16C)	Ryzen AI 9 HX PRO 370 (12C/24T)	Core Ultra 7 366H (16C)
GPU	RTX PRO 1000 Blackwell 8GB	RTX PRO 500 Blackwell 6GB	RTX PRO 1000 Blackwell 8GB	Intel Graphics (integrated)
Memory	64GB LPCAMM2 LPDDR5x-7467	32GB DDR5	64GB LPDDR5x-8400	64GB LPDDR5x-8533
Storage	SK hynix 2TB (Gen5)	1TB NVMe	2x 2TB NVMe	SK hynix PCB01 1TB (Gen5)
Battery	75Wh	75Wh	96Wh	70Wh
Price as Tested	$4,703	Not published	$4,691	$5,600

UL Procyon: AI Computer Vision

The Procyon AI Computer Vision Benchmark measures AI inference performance across CPUs, GPUs, and dedicated accelerators using a range of state-of-the-art neural networks. It evaluates tasks such as image classification, object detection, segmentation, and super-resolution using models including MobileNet V3, Inception V4, YOLO V3, DeepLab V3, Real ESRGAN, and ResNet 50. Tests are run on multiple inference engines, including NVIDIA TensorRT, Intel OpenVINO, Qualcomm SNPE, Microsoft Windows ML, and Apple Core ML, providing a broad view of hardware and software efficiency. Results are reported for float- and integer-optimized models, providing a consistent, practical measure of machine vision performance for professional workloads. For the overall scores, higher is better; for the per-model figures, the average inference times are in milliseconds, where lower is better.

The ThinkPad P14s Gen 7 led the CPU portion of the benchmark with an overall score of 134, ahead of all three comparison systems. It also recorded the fastest CPU result in REAL-ESRGAN, completing the test in 2,848.37 ms. The Core Ultra 7 366H was competitive across the remaining CPU workloads, with results generally close to those of the Dell Pro 7 14 using the same processor.

GPU performance showed a larger generational improvement, as the equipped RTX PRO 1000 scored 426 in Windows ML, which was 20% higher than the RTX PRO 500 in the P14s Gen 6 and more than twice the score of the Dell Pro 7 14’s integrated graphics. Moving to TensorRT increased the P14s Gen 7’s overall score to 600, giving it a 37% lead over its predecessor.

CPU Results, Windows ML (avg time in ms)	ThinkPad P14s Gen 7	ThinkPad P14s Gen 6	Dell Pro Max 16	Dell Pro 7 14 (Intel)
Overall Score	134	122	120	121
MobileNet V3	1.28 ms	1.11 ms	1.21 ms	1.24 ms
ResNet 50	10.08 ms	10.89 ms	9.75 ms	11.57 ms
Inception V4	29.94 ms	31.91 ms	30.81 ms	34.01 ms
DeepLab V3	35.09 ms	39.42 ms	57.37 ms	37.98 ms
YOLO V3	69.31 ms	74.45 ms	67.98 ms	81.22 ms
REAL-ESRGAN	2,848.37 ms	4,161.76 ms	3,470.93 ms	3,163.45 ms

GPU Results, Windows ML (avg time in ms)	ThinkPad P14s Gen 7 (RTX PRO 1000)	ThinkPad P14s Gen 6 (RTX PRO 500)	Dell Pro Max 16 (Radeon 890M)	Dell Pro 7 14 (Intel Graphics)
Overall Score	426	355	439	205
MobileNet V3	0.98 ms	1.05 ms	0.83 ms	1.04 ms
ResNet 50	3.31 ms	3.77 ms	3.20 ms	6.52 ms
Inception V4	8.58 ms	10.13 ms	9.43 ms	20.72 ms
DeepLab V3	19.77 ms	25.40 ms	19.26 ms	26.53 ms
YOLO V3	14.93 ms	19.16 ms	15.63 ms	43.07 ms
REAL-ESRGAN	312.96 ms	399.21 ms	286.48 ms	1,309.49 ms

TensorRT Results, NVIDIA GPUs (avg time in ms)	ThinkPad P14s Gen 7 (RTX PRO 1000)	ThinkPad P14s Gen 6 (RTX PRO 500)
Overall Score	600	438
MobileNet V3	0.59 ms	0.76 ms
ResNet 50	2.24 ms	3.33 ms
Inception V4	7.51 ms	9.53 ms
DeepLab V3	8.82 ms	13.34 ms
YOLO V3	10.69 ms	15.28 ms
REAL-ESRGAN	355.17 ms	446.47 ms

UL Procyon: AI Computer Vision 2

The Procyon AI Computer Vision 2 Benchmark evaluates newer vision and multimodal workloads, including BLIP image captioning, ConvNeXt classification, DETR object detection, ESRGAN super-resolution, and SAM2.1 segmentation. Results are reported as throughput, so higher is better. The benchmark uses the optimal inference engine available on each accelerator.

The RTX PRO 1000 achieved the highest overall score of 1,954, with its strongest results in the BLIP and SAM2.1 workloads. The NPU followed with a score of 1,469 and was faster than the discrete GPU in ESRGAN, reaching 14.04 iterations per second compared with 7.16, while also holding a small lead in ConvNeXt.

These results use the best available software path for each accelerator, so they are not directly engine-matched. The NPU ran OpenVINO at INT8 precision, the RTX PRO 1000 used TensorRT at FP16, and the Intel integrated GPU used OpenVINO at FP16.

ThinkPad P14s Gen 7 CV2 Results (higher is better)	NPU (OpenVINO, int8)	RTX PRO 1000 (TensorRT, fp16)	Intel Graphics (OpenVINO, fp16)
Overall Score	1,469	1,954	822
BLIP Decoder (it/s)	213.328	246.559	141.832
BLIP Encoder (it/s)	53.368	121.213	74.825
ConvNeXt (images/s)	1,062.34	1,029.56	335.37
DETR (it/s)	103.982	104.226	47.240
ESRGAN (it/s)	14.039	7.160	4.059
SAM2.1 Decoder (it/s)	138.932	465.709	215.827
SAM2.1 Encoder (it/s)	8.730	39.288	9.891

UL Procyon: AI Text Generation

The Procyon AI Text Generation Benchmark streamlines LLM performance testing by providing a concise, consistent evaluation method. It enables repeated testing across multiple LLM models while minimizing the complexity of large models and the number of variables. Developed with AI hardware leaders, it optimizes the use of local AI accelerators to deliver more reliable, efficient performance assessments.

The ThinkPad P14s Gen 7 ran this benchmark on the RTX PRO 1000 using ONNX Runtime and DirectML, scoring 1,618 in Phi and 1,397 in Mistral. Those results put it 24% and 23% ahead of the P14s Gen 6, respectively, though the larger Dell Pro Max 16 was faster in every model it completed despite having the same GPU. Its larger chassis and higher power limits likely allowed the RTX PRO 1000 to maintain better performance during these sustained workloads.

Neither RTX PRO 1000 system could complete the Llama2 test because the 13-billion-parameter model needs about 12GB of graphics memory through this software path, while the GPU only has 8GB. Systems with integrated graphics can borrow enough shared system memory to complete the test, making this a good example of how the P14s Gen 7’s limited VRAM can hold it back.

AI Text Generation (higher is better)	ThinkPad P14s Gen 7	ThinkPad P14s Gen 6	Dell Pro Max 16	Dell Pro 7 14 (Intel)
Phi Score	1,618	1,307	1,709	689
Phi Tokens Per Second	55.126	45.671	61.895	34.172
Mistral Score	1,397	1,137	1,538	525
Mistral Tokens Per Second	40.287	33.960	44.929	22.843
Llama3 Score	1,252	–	1,375	509
Llama3 Tokens Per Second	35.278	–	39.475	19.104
Llama2 Score	DNF (8GB VRAM)	–	DNF	530

UL Procyon: AI Image Generation

The Procyon AI Image Generation Benchmark provides a consistent and accurate method for measuring AI inference performance across a range of hardware, from low-power NPUs to high-end GPUs. It includes three tests: Stable Diffusion XL (FP16) for high-end GPUs, Stable Diffusion 1.5 (FP16) for moderately powerful GPUs, and Stable Diffusion 1.5 (INT8) for low-power devices. The benchmark uses the optimal inference engine for each system, ensuring fair and comparable results.

The RTX PRO 1000 delivered a big improvement over the previous generation in all three image-generation workloads. It completed Stable Diffusion 1.5 FP16 in 6.623 seconds per image and the INT8 version in 2.519 seconds, with scores of 943 and 12,403. These results were 35% to 47% higher than those of the RTX PRO 500 in the P14s Gen 6.

The added 8GB of graphics memory also allowed the P14s Gen 7 to complete Stable Diffusion XL, which did not run on the previous model’s 6GB GPU. It finished that workload in 48.972 seconds per image. The Dell Pro Max 16 was 8% to 9% faster with the same GPU, while the Dell Pro 7 14’s integrated graphics produced roughly one-quarter to one-third of the P14s Gen 7’s scores.

AI Image Generation	ThinkPad P14s Gen 7	ThinkPad P14s Gen 6	Dell Pro Max 16	Dell Pro 7 14 (Intel)
SD 1.5 (FP16) Score	943	697	1,027	258
SD 1.5 (FP16) Speed	6.623 s/image	8.965 s/image	6.081 s/image	24.163 s/image
SD 1.5 (INT8) Score	12,403	8,440	13,504	3,575
SD 1.5 (INT8) Speed	2.519 s/image	3.702 s/image	2.314 s/image	8.739 s/image
SDXL (FP16) Score	765	–	785	268
SDXL (FP16) Speed	48.972 s/image	–	47.729 s/image	139.410 s/image

PCMark 10

PCMark 10 measures general system performance across everyday work such as web browsing, video conferencing, spreadsheets, writing, photo editing, and rendering. Higher scores are better.

The ThinkPad P14s Gen 7 posted the highest overall PCMark 10 score in the group at 9,083, placing it 8% ahead of the P14s Gen 6 and 7.6% ahead of the Dell Pro 7 14. Its Productivity score of 16,501 was the strongest individual result, followed by an excellent Digital Content Creation score of 11,534. The Essentials result was closer to the other systems, but the overall score shows that the added graphics power does not really affect everyday responsiveness.

PCMark 10 (higher is better)	ThinkPad P14s Gen 7	ThinkPad P14s Gen 6	Dell Pro 7 14 (Intel)
Overall	9,083	8,382	8,438
Essentials	10,686	–	10,981
Productivity	16,501	–	13,992
Digital Content Creation	11,534	–	10,610

Geekbench 6

Geekbench 6 measures processor performance using a mix of common tasks, with separate scores for single-core and multi-core workloads, plus an OpenCL compute score for GPUs. Higher scores are better.

The ThinkPad P14s Gen 7 scored 2,808 in single-core and 16,319 in multi-core, finishing within a few percent of the Dell Pro 7 14, which used the same Core Ultra 7 366H. The Dell was slightly faster in both tests, though the difference was small enough that the two systems should feel very similar during short CPU workloads.

The RTX PRO 1000 scored 87,537 in OpenCL, improving on the P14s Gen 6 by 31% and beating the same GPU in the larger Dell Pro Max 16 by 8%. Inside the P14s Gen 7, the RTX PRO 1000 was nearly four times faster than the Intel integrated GPU in OpenCL. It also scored 73,204 in Vulkan, compared with 26,886 for the integrated GPU.

Geekbench 6 (higher is better)	ThinkPad P14s Gen 7	ThinkPad P14s Gen 6	Dell Pro Max 16	Dell Pro 7 14 (Intel)
Single-Core	2,808	2,713	2,875	2,862
Multicore	16,319	12,781	15,319	16,787
GPU OpenCL (dGPU)	87,537	66,784	81,098	–
GPU OpenCL (iGPU)	23,565	–	–	23,741
GPU Vulkan (dGPU)	73,204	–	–	–
GPU Vulkan (iGPU)	26,886	–	–	25,533

Geekbench 7

Starting with this review, we are adding Geekbench 7 to the suite alongside Geekbench 6 as comparison data builds. Geekbench 7 CPU scores are calibrated against a baseline score of 2,500, set by the AMD Ryzen 7700, while GPU scores are calibrated against a baseline of 100,000, set by the NVIDIA GeForce RTX 4060. Higher scores are better, and double the score indicates double the performance. Details on the individual workloads are available in Primate Labs’ CPU and GPU workload documentation. Because Geekbench 7 uses new workloads and new baselines, its scores are not comparable to Geekbench 6 results.

The ThinkPad P14s Gen 7 and Dell Pro 7 14 were close in the Geekbench 7 CPU tests. The Dell led by 2% in single-core and less than 1% in multicore, with scores of 2,589 and 17,805 compared with 2,533 and 17,651 for the ThinkPad. The RTX PRO 1000 reached 114,469 in CUDA, exceeding Geekbench 7’s desktop RTX 4060 reference score of 100,000. Its OpenCL score was 75,340, while the Intel integrated GPU scored 23,026. In Vulkan, the RTX PRO 1000 reached 70,067, compared to 23,177 for the integrated GPU, which is within 2% of the identical integrated graphics in the Dell Pro 7 14. One testing note: Geekbench 7 labels the two GPUs in reverse order in its device selector on this platform, so we confirmed these Vulkan results with repeat runs and a Dell cross-check before assigning the scores to the correct hardware.

Geekbench 7 (higher is better)	ThinkPad P14s Gen 7	Dell Pro 7 14 (Intel)
CPU Single-Core	2,533	2,589
CPU Multicore	17,651	17,805
GPU CUDA (RTX PRO 1000)	114,469	–
GPU OpenCL (dGPU)	75,340	–
GPU OpenCL (iGPU)	23,026	23,876
GPU Vulkan (dGPU)	70,067	–
GPU Vulkan (iGPU)	23,177	23,484

Cinebench R23

Cinebench measures how quickly the processor can render a complex scene, with separate tests for single-core and multi-core performance. Higher scores are better.

The ThinkPad P14s Gen 7 and Dell Pro 7 14 produced nearly identical single-core results, scoring 2,056 and 2,043, respectively. The difference was much larger in multicore, where the ThinkPad scored 18,546 and finished 27% ahead of the Dell, despite both systems using the Core Ultra 7 366H. The P14s Gen 7’s thicker workstation chassis and cooling system allow the processor to maintain higher performance when all its cores are busy.

Cinebench R23 (higher is better)	ThinkPad P14s Gen 7	Dell Pro 7 14 (Intel)
Single-Core	2,056	2,043
Multicore	18,546	14,640

Cinebench 2024

Cinebench 2024 uses the Redshift render engine to measure CPU rendering performance, with separate single-core and multicore tests. Higher scores are better.

The ThinkPad P14s Gen 7 scored 123 in single-core, only 6% ahead of the Dell Pro 7 14. Its multicore score of 1,118 was 64% higher than Dell’s 683, showing a much larger advantage during sustained rendering. Cinebench 2024 did not detect the RTX PRO 1000 for its GPU test, though the newer Cinebench 2026 recognized it correctly.

Cinebench 2024 (higher is better)	ThinkPad P14s Gen 7	Dell Pro 7 14 (Intel)
Single-Core	123	116
Multicore	1,118	683

Cinebench 2026

This review marks our first use of Cinebench 2026, which joins the suite alongside R23 and 2024. Cinebench 2026 tests CPU and GPU performance using Maxon’s Redshift render engine and is built on the latest Cinema 4D 2026 code. It is designed to show whether a machine is stable under high CPU load, whether a notebook’s cooling can sustain longer render tasks, and how it handles demanding real-world 3D work. Because code and compiler changes accelerated scene rendering, Cinebench 2026 scores use an adjusted range and should not be compared to scores from previous Cinebench versions.

The ThinkPad P14s Gen 7 scored 4,492 in the CPU multicore test, putting it 18% ahead of the Dell Pro 7 14, which used the same processor. The Dell was slightly faster in single-core at 511 compared with 502, but the ThinkPad produced a higher multicore scaling ratio of 8.96 times versus 7.45 times for the Dell.

Cinebench 2026 also detected the RTX PRO 1000, which posted a GPU score of 34,437. The Dell’s integrated Intel Graphics did not meet the benchmark’s GPU requirements and could not complete that portion of the test.

Cinebench 2026 (higher is better)	ThinkPad P14s Gen 7	Dell Pro 7 14 (Intel)
GPU	34,437	DNF (Intel Graphics unsupported)
CPU Multi-Thread	4,492	3,807
CPU Single-Thread	502	511

3DMark CPU Profile

The 3DMark CPU Profile benchmark measures CPU performance at fixed thread counts, from a single thread up to the maximum available, showing how performance scales as more cores are engaged. Higher scores are better.

The ThinkPad P14s Gen 7 led the maximum-thread test with a score of 10,500, though the P14s Gen 6 and Dell Pro Max 16 were both within 1.2%. The Dell Pro 7 14 scored 9,699, leaving all four systems within about 8% of one another when every available thread was active.

The P14s Gen 6 led the eight-thread test with 7,525, compared with 6,550 for the Gen 7. The Dell Pro 7 14 followed closely at 6,450. Results tightened again at four, two, and one thread, with the four systems separated by relatively small margins.

3DMark CPU Profile (higher is better)	ThinkPad P14s Gen 7	ThinkPad P14s Gen 6	Dell Pro Max 16	Dell Pro 7 14 (Intel)
Max Threads	10,500	10,377	10,396	9,699
16 Threads	10,421	10,294	9,879	9,679
8 Threads	6,550	7,525	7,214	6,450
4 Threads	4,219	4,400	4,445	4,240
2 Threads	2,251	2,389	2,310	2,230
1 Thread	1,165	1,222	1,173	1,163

7-Zip Compression

The 7-Zip benchmark measures how quickly the processor can compress and decompress data using multiple threads. Higher GIPS scores are better.

The ThinkPad P14s Gen 7 recorded a total rating of 90.445 GIPS in the 7-Zip benchmark, placing it 4.5% ahead of the P14s Gen 6 and 11% ahead of the Dell Pro 7 14 with the same Core Ultra 7 366H, another case of the workstation chassis pulling more sustained performance from identical silicon. The generational gain comes entirely from compression, where the Gen 7 reached 90.364 GIPS against 78.199 for its predecessor, while its decompression result actually came in just below the Gen 6. The Dell Pro Max 16 stayed well in front at 118.766 GIPS total, as the 24 threads on its Ryzen AI 9 HX PRO 370 are a better fit for this heavily threaded workload than the 16-thread Intel chips.

7-Zip GIPS (higher is better)	ThinkPad P14s Gen 7	ThinkPad P14s Gen 6	Dell Pro Max 16	Dell Pro 7 14 (Intel)
Compression	90.364	78.199	110.458	–
Decompression	90.526	92.580	127.034	–
Total Rating	90.445	86.572	118.766	81.2

y-cruncher

y-cruncher measures how quickly the processor can calculate large numbers of digits of Pi, placing a heavy load on the CPU and memory. Results are measured in seconds, so lower times are better.

The ThinkPad P14s Gen 7 completed every shared y-cruncher workload faster than its predecessor and the Dell Pro 7 14. It finished the one-billion-digit calculation in 26.685 seconds, the 2.5-billion test in 76.787 seconds, and the five-billion test in 172.994 seconds. It was also the only 14-inch system here to complete the 10-billion-digit workload, though the Ryzen-powered Dell Pro Max 16 was faster across all shared test sizes.

The BBP tests currently provide single-system reference data for the P14s Gen 7. It completed the one-billion hexadecimal-digit workload in 1.621 seconds, followed by 18.200 seconds at 10 billion and 219.969 seconds at 100 billion.

y-cruncher in seconds (lower is better)	ThinkPad P14s Gen 7	ThinkPad P14s Gen 6	Dell Pro Max 16	Dell Pro 7 14 (Intel)
1 Billion	26.685	34.056	21.856	34.775
2.5 Billion	76.787	96.273	61.851	104.586
5 Billion	172.994	216.487	137.051	240.554
10 Billion	392.083	–	313.942	–
BBP 1 Billion (hex)	1.621	–	–	–
BBP 10 Billion (hex)	18.200	–	–	–
BBP 100 Billion (hex)	219.969	–	–	–

Blender

The Blender benchmark measures rendering performance using three different 3D scenes: Monster, Junkshop, and Classroom. Results are reported in samples per minute, so higher scores are better. We tested on the CPU and on each GPU. Blender 4.5 is used in the comparison tables to match our published comp data, and a full Blender 5.1.1 run of the P14s Gen 7 follows; scores are not comparable across Blender versions. We also ran Blender 5.0 and 5.1 during the version transition, and their GPU results track the 5.1.1 figures within a few percent.

In Blender 4.5, the RTX PRO 1000 finished 23% to 29% ahead of the RTX PRO 500 in the P14s Gen 6. It reached 1,165.14 samples per minute in Monster, 760.20 in Junkshop, and 648.55 in Classroom. The discrete GPU was about 4.7 times faster than the P14s Gen 7’s Intel integrated graphics in Monster, with similarly large gaps in the other two scenes.

CPU rendering placed the Core Ultra 7 366H between the P14s Gen 6 and the Dell Pro Max 16. In the newer Blender 5.1.1 test, the RTX PRO 1000 was also much faster than both the processor and the integrated GPU across all three scenes. It reached 957.71 samples per minute in Monster, 817.23 in Junkshop, and 647.05 in Classroom. Just a note: the 5.1.1 results should not be compared directly with Blender 4.5, because changes to the Cycles rendering engine, including a new volume-rendering algorithm and other performance updates, can affect render speeds even on the same hardware.

Blender 4.5 CPU, samples/min (higher is better)	ThinkPad P14s Gen 7	ThinkPad P14s Gen 6	Dell Pro Max 16
Monster	129.73	118.71	135.1
Junkshop	86.80	73.68	92.5
Classroom	63.82	58.11	75.3

Blender 4.5 GPU, samples/min (higher is better)	ThinkPad P14s Gen 7 (RTX PRO 1000)	ThinkPad P14s Gen 6 (RTX PRO 500)	ThinkPad P14s Gen 7 (Intel Graphics)
Monster	1,165.14	903.13	248.24
Junkshop	760.20	620.11	148.45
Classroom	648.55	527.76	131.09

Blender 5.1.1, samples/min (higher is better)	ThinkPad P14s Gen 7 (RTX PRO 1000)	ThinkPad P14s Gen 7 (Intel Graphics)	ThinkPad P14s Gen 7 (CPU)	Dell Pro 7 14 (Intel Graphics)
Monster	957.71	241.13	132.53	253.6
Junkshop	817.23	186.52	102.44	189.3
Classroom	647.05	148.14	70.30	153.0

LuxMark

LuxMark measures GPU compute performance by rendering complex scenes through OpenCL. Higher scores are better. LuxMark runs on all available OpenCL devices in each system.

The ThinkPad P14s Gen 7 scored 11,342 in LuxMark Hall and 4,103 in Food. Its Hall result was 21% higher than the P14s Gen 6, while the Food result improved by 16%. The larger Dell Pro Max 16 led both tests with the same RTX PRO 1000, scoring 12,664 and 4,680. LuxMark uses every available OpenCL device in each system, so these figures represent total system performance rather than the discrete GPU alone.

LuxMark (higher is better)	ThinkPad P14s Gen 7 (RTX PRO 1000 + iGPU)	ThinkPad P14s Gen 6 (RTX PRO 500 + iGPU)	Dell Pro Max 16 (RTX PRO 1000 + iGPU)	Dell Pro 7 14 (Intel) (Intel Graphics)
LuxMark Hall	11,342	9,344	12,664	2,168
LuxMark Food	4,103	3,543	4,680	880

V-Ray

V-Ray GPU measures how quickly the graphics processor can render a scene using the V-Ray engine, reported in vpaths. Higher scores are better.

The ThinkPad P14s Gen 7 scored 1,568 vpaths in V-Ray GPU using the CUDA engine, which we run on discrete-GPU systems, so results remain comparable to notebooks with only integrated graphics. Switching to V-Ray’s RTX engine, which engages the card’s ray-tracing hardware, lifted the same RTX PRO 1000 to 2,589 vpaths, a 65% gain from the engine change alone. That distinction matters for the comparison column as well, since we believe the Dell Pro Max 16 figure was captured with the RTX engine; the real gap between the two RTX PRO 1000 machines is much smaller than the table suggests. This is a new test for our reviews, and we didn’t label the data as well as we should have for the archives. In the future, we will capture both engines on dedicated-GPU systems.

V-Ray GPU, vpaths (higher is better)	ThinkPad P14s Gen 7 (RTX PRO 1000)	ThinkPad P14s Gen 6 (RTX PRO 500)	Dell Pro Max 16 (RTX PRO 1000)	Dell Pro 7 14 (Intel) (Intel Graphics)
V-Ray GPU	1,568	2,122	2,787	775
V-Ray GPU, RTX engine	2,589	–	–	–

SPECviewperf 15

SPECviewperf 15 measures graphics performance using viewsets derived from professional applications in CAD, 3D modeling, rendering, engineering, and medical visualization. Higher scores are better, although performance can vary considerably between applications and graphics architectures.

The RTX PRO 1000 delivered a large improvement over the P14s Gen 6 in nearly every viewset, including a 33% increase in CATIA. It also put the P14s Gen 7 far ahead of the Dell Pro 7 14’s integrated graphics, with several professional workloads showing gaps of four to 12 times. These results are one of the strongest arguments for choosing a workstation GPU over a standard business laptop.

The larger Dell Pro Max 16 was faster in several viewsets, including Creo, Energy, Enscape, Medical, SolidWorks, and Unreal Engine. The P14s Gen 7 led in 3ds Max, Blender, Maya, and the completed CATIA comparison, giving it a strong overall showing for a workstation of this size.

SPECviewperf 15 (higher is better)	ThinkPad P14s Gen 7 (RTX PRO 1000)	ThinkPad P14s Gen 6 (RTX PRO 500)	Dell Pro Max 16 (RTX PRO 1000)	Dell Pro 7 14 (Intel) (Intel Graphics)
3dsmax-08	28.20	18.26	20.84	9.58
blender-01	40.69	30.19	34.79	9.11
catia-07	43.36	32.65	DNF	5.27
creo-04	107.59	87.59	115.03	18.27
energy-04	45.79	34.95	52.27	3.68
enscape-01	25.45	19.64	26.16	6.22
maya-07	112.84	86.42	108.05	49.54
medical-04	86.38	74.06	90.64	9.91
snx-05	103.61	–	–	37.74
solidworks-08	53.63	39.26	57.16	11.86
unreal_engine-01	49.24	40.99	51.95	21.36

SPECworkstation 4

SPECworkstation 4 measures workstation performance across CPU, graphics, storage, AI, product design, engineering, financial services, and other professional workloads. Higher scores are better, while DNF means the system did not complete every workload required for that category.

The ThinkPad P14s Gen 7 completed all 23 SPECworkstation workloads, whereas the other systems could not. Its Graphics subsystem score of 4.51 was more than five times the Dell Pro 7 14’s 0.82, while its Accelerator score reached 3.26. It also led the P14s Gen 6 across all published verticals, with the closest result in Financial Services at 0.96 compared with 0.95.

The strongest gains appeared in Energy, Product Design, AI and Machine Learning, and Productivity and Development. Storage was the one subsystem where the ThinkPad did not lead the Dell Pro 7 14, though the difference between their scores was negligible.

SPECworkstation 4 (higher is better)	ThinkPad P14s Gen 7	ThinkPad P14s Gen 6	Dell Pro 7 14 (Intel)
CPU (subsystem)	1.35	–	1.08
Graphics (subsystem)	4.51	–	0.82
Storage (subsystem)	1.67	–	1.68
Accelerator (subsystem)	3.26	–	–
AI & Machine Learning	1.65	1.45	1.18
Energy	1.69	1.13	0.90
Financial Services	0.96	0.95	0.78
Life Sciences	1.82	1.51	1.04
Media & Entertainment	1.81	1.53	1.16
Product Design	1.89	1.16	1.41
Productivity & Development	1.34	0.87	1.04

Blackmagic RAW Speed Test

The Blackmagic RAW Speed Test measures how many frames per second a system can decode Blackmagic RAW video on the CPU and on the GPU. We quote the 8K results at 12:1 compression; higher is better.

The ThinkPad P14s Gen 7 led the CPU test at 77 fps, narrowly ahead of the Dell Pro Max 16 at 75 fps. Its RTX PRO 1000 reached 96 fps through CUDA, improving on the P14s Gen 6 by 52% and doubling the OpenCL results from both Dell systems.

The Dell Pro 7 14 decoded 68 fps through its CPU and 48 fps through OpenCL on its integrated graphics. That puts its CPU result fairly close to the ThinkPad, but the RTX PRO 1000 gives the P14s Gen 7 a much larger advantage when GPU acceleration is available.

Blackmagic RAW 8K, fps (higher is better)	ThinkPad P14s Gen 7	ThinkPad P14s Gen 6	Dell Pro Max 16	Dell Pro 7 14 (Intel)
CPU	77	65	75	68
GPU	96 (CUDA)	63 (OpenCL)	46 (OpenCL)	48 (OpenCL)

Topaz Video AI

The Topaz Video AI benchmark measures AI video upscaling and frame-interpolation performance in frames per second across the application’s enhancement models, run here at 1080p input. Higher is better.

The ThinkPad P14s Gen 7 stayed relatively close to the Dell Pro Max 16 with the same RTX PRO 1000, though the larger Dell was generally 10% to 25% faster across the enhancement models. The difference became much more noticeable at 4X upscaling, where Artemis, Iris, and Proteus ran at only about one frame per second on the P14s.

At 1X, the main enhancement models ran between 4.78 and 5.91 fps on the P14s Gen 7, which is enough to check a short preview but nowhere near real-time playback. The 4X tests would be better left to run as batch jobs, especially when using heavier models such as Gaia.

Topaz Video AI, fps (higher is better)	ThinkPad P14s Gen 7 (RTX PRO 1000)	Dell Pro Max 16 (RTX PRO 1000)
Artemis 1X / 2X / 4X	5.17 / 3.19 / 1.12	5.74 / 3.99 / 1.47
Iris 1X / 2X / 4X	5.91 / 3.12 / 1.01	5.89 / 3.70 / 1.47
Proteus 1X / 2X / 4X	4.78 / 3.14 / 1.05	5.63 / 4.31 / 1.47
Gaia 1X / 2X / 4X	1.62 / 1.13 / 0.79	2.43 / 1.64 / 0.93
Nyx 1X / 2X	2.40 / 2.09	2.42 / 2.12
Hyperion HDR 1X	14.56	14.39
4X Slowmo Apollo / APFast	10.39 / 29.94	8.77 / 27.34

Storage Performance

3DMark Storage measures how an SSD performs during gaming-related tasks such as loading games, installing software, saving progress, and moving game files. Blackmagic Disk Speed Test measures an SSD’s sequential read and write speeds using large media files.

The 2TB SK hynix Gen5 SSD nearly doubled the P14s Gen 6’s 3DMark Storage score, reaching 3,094 compared with 1,700. It also recorded 8,511.5 MB/s reads and 8,262.3 MB/s writes in Blackmagic Disk Speed Test. Those results put it close to the Gen5 SK hynix drive in the Dell Pro 7 14 and roughly 3.5 GB/s ahead of both larger comparison systems in sequential read speed.

Storage (higher is better)	ThinkPad P14s Gen 7	ThinkPad P14s Gen 6	Dell Pro Max 16	Dell Pro 7 14 (Intel)
3DMark Storage (score)	3,094	1,700	2,459	3,259
Blackmagic Disk Read (MB/s)	8,511.5	5,159.6	5,037.0	8,398.6
Blackmagic Disk Write (MB/s)	8,262.3	4,794.1	4,923.1	8,934.5

Battery Life

The PCMark 10 Modern Office battery test repeatedly runs common office tasks until the battery reaches the test’s cutoff point, in Balanced mode at 50% display brightness. Longer runtimes are better.

The ThinkPad P14s Gen 7 lasted 15 hours and 52 minutes in PCMark 10 Modern Office, adding just over four hours compared with its predecessor despite using the same 75 Wh battery capacity. It accomplished that with a brighter 3K 120 Hz display and a more powerful discrete GPU, making the generational improvement especially welcome.

The Dell Pro Max 16 lasted only 10 minutes longer despite having a much larger 96Wh battery. The Dell Pro 7 14 reached 26 hours and 18 minutes, helped by its low-power WUXGA display and integrated graphics, while our ThinkPad configuration pairs a higher-resolution display with a discrete workstation GPU. That hardware gives the P14s Gen 7 more graphics performance, but it also comes with a noticeable reduction in battery life.

Battery, PCMark 10 Modern Office	ThinkPad P14s Gen 7	ThinkPad P14s Gen 6	Dell Pro Max 16	Dell Pro 7 14 (Intel)
Battery Capacity	75Wh	75Wh	96Wh	70Wh
Runtime	15h 52m	11h 48m	16h 2m	26h 18m

Conclusion

The ThinkPad P14s Gen 7 takes a bigger one-generation step than this line has seen in years, and it does so without adding weight. Geekbench 6 multicore performance improved by 28%, Blender GPU rendering was up by as much as 29%, and the Gen5 SSD nearly doubled the previous model’s 3DMark Storage score. Its RTX PRO 1000 also increases graphics memory from 6GB to 8GB, which allowed it to complete our Stable Diffusion XL test, while battery life improved by just over four hours. The chassis also gets more from the silicon itself: the same Core Ultra 7 366H that scored 14,640 in Cinebench R23 multicore inside the thin Dell Pro 7 14 reached 18,546 here, a 27% gain that comes down to cooling.

Fitting workstation hardware into a 3.59-pound laptop still involves real trade-offs. The RTX PRO 1000’s 8GB of graphics memory was not enough for the Llama2 13B workload, and the same GPU generally ran faster in the larger Dell Pro Max 16. Those focused on office work and battery life can get roughly 10 more hours from the Dell Pro 7 14, but that system lacks the ThinkPad’s discrete GPU and its performance in professional graphics applications.

For engineers, designers, and creators who regularly work away from a desk, the P14s Gen 7 offers ISV-certified graphics, replaceable LPCAMM2 memory, fast Gen5 storage, and enough GPU performance for professional applications in a laptop that is still easy to carry. It was also the only system in the group to finish all 23 SPECworkstation 4 workloads, and at $4,703, it is priced within a few dollars of the same GPU in the larger Dell Pro Max 16. A larger workstation will be faster during sustained GPU workloads and offer more graphics memory. Still, the P14s is a strong option for anyone who needs more than an office laptop without carrying a heavier mobile workstation.

Product Page: Lenovo ThinkPad P14s Gen 7

The post Lenovo ThinkPad P14s Gen 7 Review: RTX PRO 1000 and Panther Lake in a 3.6-Pound Workstation appeared first on StorageReview.com.

Dell sent us four Pro laptops this cycle, covering two sizes, two product tiers, and both AMD and Intel platforms. The two Pro 5 models approach the business-laptop formula from different directions: the Pro 5 16 AMD uses a larger chassis, replaceable DDR5 memory, and the Ryzen AI 9 HX PRO 470, while the compact Pro 5 14 Intel combines a Core Ultra X7 368H with fast LPCAMM2 memory and Arc B390 graphics. Dell then moves up to the thinner Pro 7 14 chassis with a choice of Intel or AMD processors. The AMD model reviewed here features the same 12-core, 24-thread Ryzen chip and 55 TOPS NPU as the Pro 5 16, but pairs it with 64GB of LPDDR5x-8533 memory, Radeon 890M graphics, a 1TB SSD, and a 14-inch WUXGA display.

Putting the same processor into two very different laptops gives us a useful look at how chassis size and memory choice affect performance. The Pro 7 14’s faster memory gives the Radeon 890M and local AI workloads an advantage over the Pro 5 16’s DDR5-5600, allowing the smaller laptop to lead the Blender tests, the AI Computer Vision GPU test, and all four AI text-generation workloads. Longer all-core workloads favor the larger Pro 5 16, which finishes Cinebench R23 multi-core 24% ahead with the same processor. Battery life reached 19 hours and 28 minutes, several hours beyond the Pro 5 16 but well short of the two Intel 14-inch systems. Our unit also had the slowest SSD of the four, with its Samsung BM9C1a trailing the Gen5 drives in the Intel laptops by a wide margin.

Beyond those performance differences, the Pro 7 14 AMD is built primarily for businesses deploying and managing a fleet of notebooks. AMD PRO provides DASH and AIM-T management features, while Dell adds SafeBIOS, SafeID, quantum-resistant BIOS verification, and 36 months of ProSupport Next Business Day Onsite service. Our configuration carries a $5,377 single-unit price on Dell.com, although volume buyers will typically pay less. Its $729 premium over the Pro 5 16 buys a thinner and lighter design, much faster memory, stronger integrated graphics, and better AI text-generation performance than the larger AMD model.

Design and Build

The Dell Pro 7 14 uses a compact, dark gray chassis that looks appropriate for a business laptop without feeling plain. At 315.5 × 226 mm, it takes up little space in a bag. The front measures 10.3 mm thick and the maximum thickness reaches 16.45 mm. Dell lists a starting weight of 2.80 pounds, though the final weight varies by configuration. The lid and palmrest have a smooth finish, and the magnesium bottom door keeps the system light while giving the chassis a solid feel.

Removing the bottom panel exposes a single cooling fan, the heat-pipe assembly, wireless card, M.2 SSD, and the large 70Wh battery. The LPDDR5x memory is soldered to the motherboard and cannot be upgraded, but the SSD, wireless card, and battery are accessible for service or replacement. Dell also uses modular components in several areas, making common repairs less involved than on many thin systems. The customer-replaceable battery is especially useful for companies planning to keep these laptops deployed for several years.

Display and Input

The 14-inch WUXGA display in our review build has a 1920 x 1200 resolution, giving it a taller 16:10 aspect ratio that provides more vertical space for documents, spreadsheets, and web pages. It is a non-touch panel with variable refresh rate support, 500-nit brightness, full sRGB coverage, an anti-glare finish, and Dell’s ComfortView Plus (Low Blue Light) certification. The super-low-power panel also helps battery life. Our unit lasted 19 hours and 28 minutes in the PCMark 10 Modern Office test.

Dell pairs the display with an 8MP infrared camera that supports Windows Hello facial recognition, presence detection, temporal noise reduction, and a physical camera shutter. The Mini-LED backlit keyboard uses the available width well, with full-sized primary keys and a familiar layout that does not require much adjustment. There is no numeric keypad on this 14-inch model, but the centered keyboard and large precision touchpad leave plenty of room for everyday work. The display bezels are reasonably narrow along the sides, although the camera hardware requires a slightly thicker section along the top.

Ports and Connectivity

Port selection is good for a laptop this thin, with our review build including three USB Type-C connections. The left side has two Thunderbolt 4 ports with USB4, DisplayPort 2.1, and Power Delivery, plus HDMI 2.1 and a USB 3.2 Gen 1 Type-A port. The right side adds a third USB Type-C port with USB 3.2 Gen2x2 (20 Gbps), DisplayPort 1.4, and Power Delivery, along with a headset jack and wedge-shaped security slot. Dell offers that third Type-C connection as an alternative to a second USB Type-A port with PowerShare, so the exact layout depends on the configuration.

It also includes MediaTek Wi-Fi 7 MT7925 and Bluetooth for wireless connections. Charging is done via USB-C using the included 65W adapter, which can be connected on either side of the laptop. The 70Wh battery supports ExpressCharge and ExpressCharge Boost when paired with a 100W adapter, which Dell offers as an option. With the included 65W adapter, standard charging applies.

Security and Manageability

The Dell Pro 7 14 is built for managed business environments, and much of its value comes from features not shown in benchmark charts. AMD PRO manageability includes DASH and AMD Integrated Management Technology, or AIM-T, giving IT departments tools to monitor, configure, and support systems remotely. Dell Management Portal can also work alongside Microsoft Intune, allowing administrators to manage Dell-specific settings through an existing cloud-based device-management setup.

Dell adds several layers of hardware and firmware protection through SafeBIOS, SafeID, and Trusted Device. SafeBIOS monitors BIOS settings and detects unexpected changes, while SafeID keeps credentials in dedicated hardware away from the operating system. Quantum-resistant BIOS verification protects firmware updates against current and emerging cryptographic threats. Our review build also has a fingerprint reader, and the infrared camera provides another Windows Hello sign-in option.

Our configuration comes with Dell ProSupport and next-business-day onsite service for 36 months following remote diagnosis. If Dell determines that hardware needs to be replaced, a technician can be sent to the customer’s location, reducing the time an employee is left without their primary laptop.

Dell Pro 7 14 (AMD) Specifications

Specification	Dell Pro 7 14 (P714265)
Platform Overview
Processor	AMD Ryzen AI 9 HX PRO 470 12 cores / 24 threads, up to 5.2 GHz 55 TOPS NPU (Copilot+ PC)
Graphics	AMD Radeon 890M (integrated)
Operating System	Windows 11 Pro (Copilot+ PC)
Memory and Storage
Memory	64 GB LPDDR5x-8533, dual-channel, onboard
Storage	1 TB SSD (Samsung BM9C1a)
Display and Camera
Display	14″ WUXGA (1920 x 1200), non-touch, VRR 500 nits, 100% sRGB, anti-glare, Low Blue Light, super-low-power
Camera	8 MP + IR (Windows Hello)
Connectivity and Input
Wireless	MediaTek Wi-Fi 7 MT7925, Bluetooth
Keyboard	English (US) Mini-LED backlit
Ports	2x Thunderbolt 4 (USB4, DisplayPort 2.1, Power Delivery); 1x USB-C 3.2 Gen 2×2 (DisplayPort 1.4, Power Delivery); 1x USB 3.2 Gen 1 Type-A; HDMI 2.1; headset jack; wedge-shaped lock slot. Configurations without the third USB-C port include a second USB Type-A port with PowerShare instead.
Security and Manageability
Security	Fingerprint reader Dell SafeBIOS, SafeID, Trusted Device Quantum-resistant BIOS verification
Manageability	AMD PRO manageability, AMD DASH, AMD Integrated Management Technology Dell Management Portal, Microsoft Intune
Power and Physical
Battery	3-cell, 70 Wh, Long Life Cycle, ExpressCharge / ExpressCharge Boost
Power Adapter	65 W USB-C
Chassis	Aluminum (Top Cover, Palmrest), Lightweight Magnesium (Bottom Cover)
Weight / Dimensions	From 2.80 lb; 315.5 x 226 mm; 10.3 to 16.45 mm thick.
Warranty and Pricing
Service	Dell ProSupport, Next Business Day Onsite, 36 months
Base Price	$2,279
Price as Tested	$5,377 (Dell.com single-unit, no discount)

Performance Testing

To see how the Dell Pro 7 14 AMD compares with Dell’s current commercial lineup, we tested it alongside the larger Pro 5 16 AMD and both 14-inch Intel models. All four laptops were tested using our standard power profile across general productivity, CPU rendering, GPU compute, professional visualization, storage, AI, and battery workloads.

The Pro 7 14 and Pro 5 16 use the same Ryzen AI 9 HX PRO 470 and Radeon 890M, but the smaller model has faster LPDDR5x-8533 memory, giving it an advantage in several integrated graphics, memory-heavy, and AI tests. Its thinner chassis limits sustained multi-core work, giving the Pro 5 16 more room. Comparisons with the Intel laptops vary by application. AMD performs better across many SPECviewperf CAD viewsets, while Intel’s Arc graphics lead in Blender GPU rendering.

Test Systems

Specification	Dell Pro 5 16 (AMD)	Dell Pro 7 14 (AMD)	Dell Pro 7 14 (Intel)	Dell Pro 5 14 (Intel)
CPU	Ryzen AI 9 HX PRO 470 (12C/24T)	Ryzen AI 9 HX PRO 470 (12C/24T)	Core Ultra 7 366H (16C)	Core Ultra X7 368H (16C)
GPU	Radeon 890M	Radeon 890M	Intel Graphics	Intel Arc B390
Memory	64 GB DDR5-5600	64 GB LPDDR5x-8533	64 GB LPDDR5x-8533	64 GB LPCAMM2-8533
Storage	SanDisk PC SN5100S 1 TB	Samsung BM9C1a 1 TB	SK hynix PCB01 1 TB	SK hynix PCB01 1 TB
Display	16″ WQXGA	14″ WUXGA	14″ WUXGA	14″ WUXGA
Price as Tested	$4,648	$5,377	$5,600	$5,492

UL Procyon: AI Computer Vision

The Procyon AI Computer Vision Benchmark measures AI inference performance across CPUs, GPUs, and dedicated accelerators using a range of state-of-the-art neural networks. It evaluates tasks such as image classification, object detection, segmentation, and super-resolution using models including MobileNet V3, Inception V4, YOLO V3, DeepLab V3, Real ESRGAN, and ResNet 50. Tests are run on multiple inference engines, including NVIDIA TensorRT, Intel OpenVINO, Qualcomm SNPE, Microsoft Windows ML, and Apple Core ML, providing a broad view of hardware and software efficiency. Results are reported for float- and integer-optimized models, providing a consistent, practical measure of machine vision performance for professional workloads.

The Dell Pro 7 14 AMD scored 243 overall in the UL Procyon AI Computer Vision GPU benchmark, making it the second-fastest system in the comparison. It outperformed the Dell Pro 5 16 AMD’s score of 214 by roughly 14% and held an 18.5% lead over the Dell Pro 7 14 Intel, which posted 205. The only system ahead was the Dell Pro 5 14 Intel at 398, a substantial 64% advantage. Despite not taking the top position, the Pro 7 14 AMD demonstrated a strong showing for an ultraportable business notebook, particularly given its balanced performance across the suite’s diverse machine vision workloads.

On the CPU side, the Dell Pro 7 14 AMD recorded an overall score of 77, trailing the Dell Pro 5 16 AMD’s 91 and both Intel configurations, which scored 121 and 119, respectively. This placed the system approximately 15% behind the larger AMD notebook and roughly 36% behind the leading Intel Pro 7 14. While Intel’s software optimizations continue to provide an advantage in CPU-based inference, AMD’s GPU-accelerated results in the Pro 7 14 paint a much more competitive picture, highlighting the importance of leveraging modern AI accelerators for professional computer vision applications.

CPU Results (average time in ms)	Dell Pro 5 16 (AMD Ryzen AI 9 HX PRO 470 12C)	Dell Pro 7 14 (AMD Ryzen AI 9 HX PRO 470 12C)	Dell Pro 7 14 (Intel Core Ultra 7 366H 16C)	Dell Pro 5 14 (Intel Core Ultra X7 368H 16C)
AI Computer Vision Overall Score	91	77	121	119
MobileNet V3	1.57 ms	1.79 ms	1.24 ms	1.09 ms
ResNet 50	13.64 ms	16.46 ms	11.57 ms	10.11 ms
Inception V4	40.43 ms	51.10 ms	34.01 ms	29.77 ms
DeepLab V3	69.73 ms	74.74 ms	37.98 ms	50.18 ms
YOLO V3	99.38 ms	122.35 ms	81.22 ms	112.64 ms
REAL-ESRGAN	4,504.35 ms	5,383.21ms	3,163.45 ms	2,884.51 ms

GPU Results (average time in ms)	Dell Pro 5 16 (AMD Ryzen AI 9 HX PRO 470 12C)	Dell Pro 7 14 (AMD Ryzen AI 9 HX PRO 470 12C)	Dell Pro 7 14 (Intel Core Ultra 7 366H 16C)	Dell Pro 5 14 (Intel Core Ultra X7 368H 16C)
AI Computer Vision Overall Score	214	243	205	398
MobileNet V3	1.56 ms	1.17 ms	1.04 ms	0.84 ms
ResNet 50	8.76 ms	7.93 ms	6.52 ms	2.94 ms
Inception V4	22.46 ms	20.06 ms	20.72 ms	8.38 ms
DeepLab V3	38.40 ms	34.04 ms	26.53 ms	17.54 ms
YOLO V3	23.56 ms	21.92 ms	43.07 ms	19.14 ms
REAL-ESRGAN	570.35 ms	536.81 ms	1,309.49 ms	562.87 ms

UL Procyon: AI Text Generation

The Procyon AI Text Generation Benchmark streamlines LLM performance testing by providing a concise, consistent evaluation method. It enables repeated testing across multiple LLM models while minimizing the complexity of large models and the number of variables. Developed with AI hardware leaders, it optimizes the use of local AI accelerators to deliver more reliable, efficient performance assessments.

The Dell Pro 7 14 AMD consistently improved upon the larger Dell Pro 5 16 AMD across all UL Procyon AI Text Generation workloads, highlighting the benefits of its tuning and implementation of the Ryzen AI 9 HX PRO 470 platform. In the Phi test, the Pro 7 14 AMD achieved an overall score of 427, a 15% improvement over the Pro 5 16’s 371. Similar gains were observed in Mistral (389 versus 346, +12%), Llama3 (345 versus 306, +13%), and Llama2 (367 versus 329, +12%). It also delivered lower time-to-first-token metrics and higher token generation rates across the board, making it the stronger of the two AMD-based systems for local LLM inference.

Compared to its Intel counterparts, however, the Dell Pro 7 14 AMD trailed in every workload. The Intel-based Dell Pro 7 14 posted scores of 689, 525, 509, and 530 in Phi, Mistral, Llama3, and Llama2, respectively, representing advantages ranging from 35% to 61% over the AMD model. The Dell Pro 5 14 widened the gap further, leading the group with scores of 904 in Phi, 716 in Mistral, 708 in Llama3, and 641 in Llama2. Intel’s systems also substantially reduced time-to-first-token, with the Pro 5 14 reaching just 1.158 seconds in Phi compared to 4.286 seconds on the Pro 7 14 AMD, while simultaneously delivering higher sustained token throughput.

UL Procyon: AI Text Generation	Dell Pro 5 16 (AMD Ryzen AI 9 HX PRO 470 12C)	Dell Pro 7 14 (AMD Ryzen AI 9 HX PRO 470 12C)	Dell Pro 7 14 (Intel Core Ultra 7 366H 16C)	Dell Pro 5 14 (Intel Core Ultra X7 368H 16C)
Phi
Phi Overall Score	371	427	689	904
Phi Output Time To First Token	5.052 s	4.286 s	1.843 s	1.158 s
Phi Output Tokens Per Second	27.163 tokens/s	30.492 tokens/s	34.172 tokens/s	36.952 tokens/s
Phi Overall Duration	135.343 s	118 s	92.273 s	81.304 s
Mistral
Mistral Overall Score	346	389	525	716
Mistral Output Time To First Token	6.929 s	6.060 s	3.778 s	2.195 s
Mistral Output Tokens Per Second	18.174 tokens/s	20.125 tokens/s	22.843 tokens/s	24.724 tokens/s
Mistral Overall Duration	196.185 s	176 s	143.831 s	123.773 s
Llama3
Llama3 Overall Score	306	345	509	708
Llama3 Output Time To First Token	6.518 s	5.707s	2.992 s	1.657 s
Llama3 Output Tokens Per Second	15.050 tokens/s	16.725 tokens/s	19.104 tokens/s	20.421 tokens/s
Llama3 Overall Duration	224.176 s	199 s	161.290 s	142.814 s
Llama2
Llama2 Overall Score	329	367	530	641
Llama2 Output Time To First Token	11.089 s	10.307 s	5.412 s	4.082 s
Llama2 Output Tokens Per Second	8.878 tokens/s	10.260 tokens/s	11.230 tokens/s	12.397 tokens/s
Llama2 Overall Duration	381.464 s	334 s	278.109 s	245.572 s

UL Procyon: AI Image Generation

The Procyon AI Image Generation Benchmark provides a consistent and accurate method for measuring AI inference performance across a range of hardware, from low-power NPUs to high-end GPUs. It includes three tests: Stable Diffusion XL (FP16) for high-end GPUs, Stable Diffusion 1.5 (FP16) for moderately powerful GPUs, and Stable Diffusion 1.5 (INT8) for low-power devices. The benchmark uses the optimal inference engine for each system, ensuring fair and comparable results.

The Dell Pro 7 14 AMD delivered largely middle-of-the-pack results in the UL Procyon AI Image Generation benchmark, though it remained highly competitive with the other non-leading systems. In Stable Diffusion 1.5 (FP16), it posted an overall score of 247 with an image generation speed of 25.3 seconds per image, placing it about 4% behind the Dell Pro 7 14 Intel (258) and roughly 3% behind the Dell Pro 5 16 AMD (255). The Dell Pro 5 14 was the clear outlier, however, producing a score of 635 and generating images approximately 2.6 times faster at 9.8 seconds per image.

Stable Diffusion 1.5 (INT8) told a similar story. The Dell Pro 7 14 AMD scored 3,521, essentially tying the Dell Pro 5 16 AMD (3,598) and Dell Pro 7 14 Intel (3,575), with less than a 3% spread separating the three systems. Image generation speeds were nearly identical as well, ranging from 8.69 to 8.87 seconds per image. Once again, the Dell Pro 5 14 established a substantial lead, posting a score of 7,693 and cutting generation times to just 4.06 seconds per image, more than twice as fast as the rest of the field.

UL Procyon: AI Image Generation	Dell Pro 5 16 (AMD Ryzen AI 9 HX PRO 470 12C)	Dell Pro 7 14 (AMD Ryzen AI 9 HX PRO 470 12C)	Dell Pro 7 14 (Intel Core Ultra 7 366H 16C)	Dell Pro 5 14 (Intel Core Ultra X7 368H 16C)
Stable Diffusion 1.5 (FP16)
Stable Diffusion 1.5 (FP16) – Overall Score	255	247	258	635
Stable Diffusion 1.5 (FP16) – Overall Time	391.577 s	404.455 s	386.614 s	157.296 s
Stable Diffusion 1.5 (FP16) – Image Generation Speed	24.474 s/image	25.278 s/image	24.163 s/image	9.831 s/image
Stable Diffusion 1.5 (INT8)
Stable Diffusion 1.5 (INT8) – Overall Score	3,598	3,521	3,575	7,693
Stable Diffusion 1.5 (INT8) – Overall Time	69.478 s	70.985 s	69.911 s	32.495 s
Stable Diffusion 1.5 (INT8) – Image Generation Speed	8.685 s/image	8.873 s/image	8.739 s/image	4.062 s/image
Stable Diffusion XL (FP16)
Stable Diffusion XL (FP16) – Overall Score	173	177	268	646
Stable Diffusion XL (FP16) – Overall Time	3,448.478 s	3,379.388 s	2,230.563 s	928.747 s
Stable Diffusion XL (FP16) – Image Generation Speed	215.530 s/image	211.212 s/image	139.410 s/image	58.047 s/image

PCMark 10

PCMark 10 measures general system performance across everyday work such as web browsing, video conferencing, spreadsheets, writing, photo editing, and rendering. Higher scores are better.

The Dell Pro 7 14 AMD scored 8,237 overall in PCMark 10, putting it within 2.5% of the Pro 7 14 Intel’s leading score of 8,438. The four laptops were close in Essentials, where the AMD model scored 10,783, but it moved into first place in Productivity with 14,366. Digital Content Creation reached 9,792, only 60 points behind the larger Pro 5 16 but 818 points behind the Pro 7 14 Intel. For common office work, the Pro 7 14 AMD performed much like the other Dell models and had the best Productivity result of the group.

PCMark 10 (higher is better)	Dell Pro 5 16 (AMD Ryzen AI 9 HX PRO 470 12C)	Dell Pro 7 14 (AMD Ryzen AI 9 HX PRO 470 12C)	Dell Pro 7 14 (Intel Core Ultra 7 366H 16C)	Dell Pro 5 14 (Intel Core Ultra X7 368H 16C)
Overall	8,268	8,237	8,438	7,945
Essentials	10,870	10,783	10,981	10,751
Productivity	14,322	14,366	13,992	13,821
Digital Content Creation	9,852	9,792	10,610	9,158

Geekbench 6

Geekbench 6 measures processor performance using a mix of common tasks, with separate scores for single-core and multi-core workloads. Higher scores are better.

The Dell Pro 7 14 AMD scored 2,888 in Geekbench 6 single-core, keeping it within a relatively narrow range of 127 points across all four laptops. Its multi-core score of 14,768 was 420 points higher than the larger Pro 5 16, despite both systems using the Ryzen AI 9 HX PRO 470. The two 16-core Intel models were faster in this portion of the test, scoring just under 17,000, but the Pro 7 14 AMD still performed well for a thin 14-inch laptop.

Geekbench 6 (higher is better)	Dell Pro 5 16 (AMD Ryzen AI 9 HX PRO 470 12C)	Dell Pro 7 14 (AMD Ryzen AI 9 HX PRO 470 12C)	Dell Pro 7 14 (Intel Core Ultra 7 366H 16C)	Dell Pro 5 14 (Intel Core Ultra X7 368H 16C)
Single-Core	2,989	2,888	2,862	2,968
Multi-Core	14,348	14,768	16,787	16,874

Cinebench R23 and 2024

Cinebench measures how quickly the processor can render a complex scene, with separate tests for single-core and multi-core performance. Higher scores are better.

The Dell Pro 7 14 AMD scored 1,946 in Cinebench R23 single-core and 15,173 in multi-core, while the larger Pro 5 16 finished about 24% ahead in the multi-core test. Since both laptops use the same Ryzen AI 9 HX PRO 470, the additional thermal room available in the 16-inch model likely contributed to its higher score. Cinebench 2024 followed a similar pattern, with the Pro 7 14 AMD scoring 105 in single-core and 847 in multi-core, compared with 119 and 1,055 for the Pro 5 16. Even with that difference, its 2024 multi-core result beat both Intel laptops.

Cinebench (higher is better)	Dell Pro 5 16 (AMD Ryzen AI 9 HX PRO 470 12C)	Dell Pro 7 14 (AMD Ryzen AI 9 HX PRO 470 12C)	Dell Pro 7 14 (Intel Core Ultra 7 366H 16C)	Dell Pro 5 14 (Intel Core Ultra X7 368H 16C)
R23 Single-Core	2,029	1,946	2,043	2,010
R23 Multi-Core	18,764	15,173	14,640	16,915
2024 Single-Core	119	105	116	122
2024 Multi-Core	1,055	847	683	807

7-Zip Compression

The 7-Zip benchmark measures how quickly the processor can compress and decompress data using multiple threads. Higher GIPS scores are better.

The Dell Pro 7 14 AMD recorded 90.2 GIPS in 7-Zip, placing second behind the Pro 5 16 at 103.9 GIPS. It narrowly passed the Pro 5 14 Intel’s 89.4 GIPS and finished 9 GIPS ahead of the Pro 7 14 Intel. The larger AMD laptop had an advantage during sustained compression, but the Pro 7 14 still produced the best result among the three 14-inch systems.

7-Zip (higher is better)	Dell Pro 5 16 (AMD Ryzen AI 9 HX PRO 470 12C)	Dell Pro 7 14 (AMD Ryzen AI 9 HX PRO 470 12C)	Dell Pro 7 14 (Intel Core Ultra 7 366H 16C)	Dell Pro 5 14 (Intel Core Ultra X7 368H 16C)
Total Rating (GIPS)	103.9	90.2	81.2	89.4

y-cruncher

y-cruncher measures how quickly the processor can calculate large numbers of Pi digits, placing a heavy load on the CPU and memory. Results are measured in seconds, so lower times are better.

The Dell Pro 7 14 AMD completed the 1-billion-digit y-cruncher test in 25.199 seconds, only 0.039 seconds behind the Pro 5 16. The larger AMD model gained more distance as the calculation increased, finishing the 2.5-billion test in 73.320 seconds compared with 79.393 seconds for the Pro 7 14. At 5 billion digits, the Pro 7 14 took 177.776 seconds, about 14 seconds longer than the Pro 5 16 but roughly 27 seconds faster than either Intel system.

y-cruncher — seconds (lower is better)	Dell Pro 5 16 (AMD Ryzen AI 9 HX PRO 470 12C)	Dell Pro 7 14 (AMD Ryzen AI 9 HX PRO 470 12C)	Dell Pro 7 14 (Intel Core Ultra 7 366H 16C)	Dell Pro 5 14 (Intel Core Ultra X7 368H 16C)
1 Billion	25.160	25.199	34.775	29.405
2.5 Billion	73.320	79.393	104.586	90.719
5 Billion	163.768	177.776	240.554	204.685

Blender 5.1.1 (GPU)

The Blender benchmark measures GPU rendering performance using three different 3D scenes: Monster, Junkshop, and Classroom. Results are reported in samples per minute, so higher scores are better.

The Radeon 890M in the Dell Pro 7 14 AMD reached 140.9 samples per minute in Monster, 122.0 in Junkshop, and 105.6 in Classroom. Those results were 9% to 18% faster than the Pro 5 16, even though both laptops use the same integrated GPU. The Pro 7 14’s faster LPDDR5x-8533 memory likely helped here, since the Radeon 890M shares system memory. Both Intel laptops were much faster in Blender, however, with the Arc B390-equipped Pro 5 14 leading all three scenes.

Blender 5.1.1 GPU — samples/min (higher is better)	Dell Pro 5 16 (AMD Ryzen AI 9 HX PRO 470 12C)	Dell Pro 7 14 (AMD Ryzen AI 9 HX PRO 470 12C)	Dell Pro 7 14 (Intel Core Ultra 7 366H 16C)	Dell Pro 5 14 (Intel Core Ultra X7 368H 16C)
Monster	129.8	140.9	253.6	366.6
Junkshop	103.1	122.0	189.3	312.6
Classroom	91.1	105.6	153.0	244.4

V-Ray and LuxMark

LuxMark measures GPU compute performance by rendering complex scenes through OpenCL, while V-Ray GPU measures how quickly the graphics processor can render a scene using the V-Ray engine. Higher scores are better.

The Dell Pro 7 14 AMD scored 2,042 in LuxMark Hall, 1,050 in LuxMark Food, and 784 vpaths in V-Ray GPU. LuxMark Hall placed it slightly behind the Pro 5 16 and Pro 7 14 Intel, while its Food result beat both of those systems and trailed only the Arc B390-equipped Pro 5 14. V-Ray was close across the group, although the Pro 7 14 AMD finished ahead of only the Pro 7 14 Intel. The Radeon 890M performed reasonably well in these tests, but the Arc B390 had a large advantage in both LuxMark scenes.

GPU Compute (higher is better)	Dell Pro 5 16 (AMD Ryzen AI 9 HX PRO 470 12C)	Dell Pro 7 14 (AMD Ryzen AI 9 HX PRO 470 12C)	Dell Pro 7 14 (Intel Core Ultra 7 366H 16C)	Dell Pro 5 14 (Intel Core Ultra X7 368H 16C)
LuxMark — Hall	2,125	2,042	2,168	3,287
LuxMark — Food	982	1,050	880	1,585
V-Ray GPU (vpaths)	861	784	775	919

SPECviewperf 15

SPECviewperf 15 measures graphics performance using viewsets based on professional applications for CAD, 3D modeling, rendering, engineering, and medical visualization. Higher scores are better, although performance can vary considerably between applications and graphics architectures.

The Dell Pro 7 14 AMD performed particularly well in the CAD-focused portions of SPECviewperf 15, leading the group in 3ds Max (24.69), CATIA (21.21), Creo (45.70), and Siemens NX (51.84). It also led the two AMD systems in Enscape (8.29) and Maya (53.64), although the Arc B390-equipped Pro 5 14 posted the highest scores in both tests at 14.28 and 82.42. The Pro 5 14 Intel also led Blender (21.19) and Unreal Engine (38.77). The Pro 7 14 AMD remained close to the Pro 5 16 in Energy (25.08), Medical (60.50), and SolidWorks (32.02), while both Radeon 890M systems were much faster than the Pro 7 14 Intel across the engineering viewsets.

SPECviewperf 15 (higher is better)	Dell Pro 5 16 (AMD Ryzen AI 9 HX PRO 470 12C)	Dell Pro 7 14 (AMD Ryzen AI 9 HX PRO 470 12C)	Dell Pro 7 14 (Intel Core Ultra 7 366H 16C)	Dell Pro 5 14 (Intel Core Ultra X7 368H 16C)
3dsmax-08	23.21	24.69	9.58	20.21
blender-01	19.89	20.85	9.11	21.19
catia-07	20.16	21.21	5.27	10.27
creo-04	44.27	45.70	18.27	32.53
energy-04	25.39	25.08	3.68	10.78
enscape-01	8.02	8.29	6.22	14.28
maya-07	48.67	53.64	49.54	82.42
medical-04	65.45	60.50	9.91	22.96
snx-05	51.67	51.84	37.74	46.22
solidworks-08	33.12	32.02	11.86	23.60
unreal_engine-01	26.61	26.29	21.36	38.77

SPECworkstation 4

SPECworkstation 4 measures workstation performance across CPU, graphics, storage, AI, product design, engineering, financial services, and other professional workloads. Higher scores are better, while DNF means the system did not complete every workload required for that category.

The Dell Pro 7 14 AMD led the Graphics subsystem (2.41), narrowly passing the Pro 5 16 and finishing far ahead of both Intel laptops. Its CPU score (1.00) was the lowest of the four, while AI and Machine Learning (1.29), Energy (1.13), Financial Services (0.88), and Life Sciences (1.08) placed it around the middle of the group. Product Design (1.18) and Productivity and Development (0.72) were also behind the other systems. Storage (0.55) was the weakest result, reflecting the slower Samsung SSD in this system, while Media and Entertainment did not finish.

SPECworkstation 4 (higher is better)	Dell Pro 5 16 (AMD Ryzen AI 9 HX PRO 470 12C)	Dell Pro 7 14 (AMD Ryzen AI 9 HX PRO 470 12C)	Dell Pro 7 14 (Intel Core Ultra 7 366H 16C)	Dell Pro 5 14 (Intel Core Ultra X7 368H 16C)
CPU (subsystem)	1.09	1.00	1.08	1.19
Graphics (subsystem)	2.36	2.41	0.82	1.68
Storage (subsystem)	0.89	0.55	1.68	1.76
AI & Machine Learning	1.37	1.29	1.18	1.36
Energy	1.24	1.13	0.90	1.18
Financial Services	0.98	0.88	0.78	0.78
Life Sciences	1.34	1.08	1.04	1.34
Media & Entertainment	DNF	DNF	1.16	DNF
Product Design	1.34	1.18	1.41	1.64
Productivity & Development	0.78	0.72	1.04	1.10

Storage Performance

3DMark Storage measures how an SSD performs during gaming-related tasks such as loading games, installing software, saving progress, and moving game files. Blackmagic Disk Speed Test measures an SSD’s sequential read and write speeds using large media files.

The 1TB Samsung BM9C1a in the Dell Pro 7 14 AMD scored 894 in 3DMark Storage, well behind the other three drives in the comparison. Blackmagic Disk measured 3,103.4MB/s read and 4,034.3MB/s write, compared with more than 8,000MB/s from the SK hynix Gen5 drives installed in both Intel laptops. Much of that gap comes down to the specific SSD in our review build, but Dell’s spec sheet notes that Gen5 SSDs run at Gen4 speed on the AMD version of the Pro 7, so even upgraded configurations will not match the sequential numbers of the Intel units. Either way, storage is one of the weaker areas of this configuration, especially considering its $5,377 price.

Storage (higher is better)	Dell Pro 5 16 (AMD Ryzen AI 9 HX PRO 470 12C)	Dell Pro 7 14 (AMD Ryzen AI 9 HX PRO 470 12C)	Dell Pro 7 14 (Intel Core Ultra 7 366H 16C)	Dell Pro 5 14 (Intel Core Ultra X7 368H 16C)
3DMark Storage (score)	2,477	894	3,259	3,144
Blackmagic Disk — Read (MB/s)	4,758.0	3,103.4	8,398.6	8,609.6
Blackmagic Disk — Write (MB/s)	5,166.5	4,034.3	8,934.5	8,747.3

Battery Life

The PCMark 10 Modern Office battery test repeatedly runs common office tasks until the battery reaches the test’s cutoff point. Longer runtimes are better.

The Dell Pro 7 14 AMD lasted 19 hours and 28 minutes in the PCMark 10 Modern Office battery test, which was run in Balanced mode at 50% display brightness. That was more than four hours longer than the 16-inch Pro 5, but roughly seven hours behind both 14-inch Intel systems. All four laptops use a 70Wh battery, so the comparison also shows the efficiency advantage of the Intel configurations during lighter office workloads. Even with that gap, the Pro 7 14 AMD provided enough runtime for a long day away from an outlet.

Battery — PCMark 10 Modern Office (higher is better)	Dell Pro 5 16 (AMD Ryzen AI 9 HX PRO 470 12C)	Dell Pro 7 14 (AMD Ryzen AI 9 HX PRO 470 12C)	Dell Pro 7 14 (Intel Core Ultra 7 366H 16C)	Dell Pro 5 14 (Intel Core Ultra X7 368H 16C)
Runtime	15h 22m	19h 28m	26h 18m	26h 48m

Conclusion

The Dell Pro 7 14 AMD is a decent choice for business users who want a portable 14-inch laptop with excellent integrated graphics and local AI performance. Its Ryzen AI 9 HX PRO 470 and 64GB of LPDDR5x-8533 memory worked especially well together, helping it lead the AMD pair in Blender, several SPECviewperf viewsets, the Procyon AI Computer Vision GPU test, and all four AI text-generation workloads. It also led PCMark 10 Productivity and produced competitive single-core performance, giving it plenty of speed for office work, heavier multitasking, CAD applications, and supported local AI tools.

The smaller chassis does place limits on sustained multi-core performance, with the larger Pro 5 16 finishing Cinebench R23 multi-core about 24% faster despite using the same processor. Our review unit’s Samsung BM9C1a SSD was also the slowest of the four Dell drives, trailing the Gen5 SSDs in the Intel systems by a wide margin. Battery life reached 19 hours and 28 minutes, which is excellent for a full day of work, but the two 14-inch Intel models lasted close to 27 hours. Buyers who prioritize long rendering workloads, faster storage, or maximum battery life have better options among the other three Dell configurations.

Pricing may be the largest concern, since our Pro 7 14 AMD review build costs $5,377 before commercial discounts, which is $729 more than the Pro 5 16. However, that premium pays for a thinner and more portable design, faster memory, stronger integrated graphics, and better AI text-generation performance than its larger AMD counterpart. Dell also backs it with AMD PRO manageability, its commercial security tools, and three years of next-business-day onsite support. For companies that need those features in a compact AMD laptop, the Pro 7 14 has a strong case, but buyers focused mainly on sustained CPU performance will get more for their money from the Pro 5 16.

Product Page: Dell Pro 7 14

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