This category holds every workstation and business laptop review we’ve published: desktop workstations, mobile workstations, business laptops, and the desktop AI systems that now sit alongside them, from Dell Pro Precision, HP ZBook and EliteBook, and Lenovo ThinkPad P series to GB10 and GB300 machines like the NVIDIA DGX Spark and MSI XpertStation WS300. The benchmarks are sized to the class of machine. Laptops and desktop towers run SPECworkstation and SPECviewperf for professional graphics and compute, Blender and PCMark 10 for rendering and office work, and PCMark 10 Modern Office for battery runtime. Local AI systems are measured on LLM throughput at model sizes that fit their memory, and every system gets thermals and power recorded under sustained load.
The lab data from these reviews feeds our leaderboards, which are the fastest way to compare systems side by side: Best Desktop Workstations, Best Mobile Workstations, Best Business Laptops, and the Laptop Battery Life leaderboard, which ranks the 20 longest-running laptops we’ve tested. For local AI, the Best Laptops for Local AI and Best Desktops for Local AI pages rank systems on measured model performance, and our agentic AI hardware sizing guide covers how much VRAM, RAM, and storage a given model needs before you buy.
Mini PCs have become one of the more important segments of the client computing market. They anchor fleets of clutter-free office desks, drive digital signage and kiosks, and increasingly sit at the edge running inference close to cameras and sensors where cloud round-trips are too slow or too expensive. What the category has lacked until
HP’s ZBook Ultra G1a 14 holds the Best for Large Models spot on our Best Laptops for Local AI leaderboard because its 128GB of unified memory, 96GB of it assignable to the GPU, loaded models no discrete-GPU laptop could touch. The new HP ZBook Ultra G3a 16 raises that pool to 192GB with up to
The most common question we got about the MSI XpertStation WS300 after our review coalesces around one key theme. The GB300 Grace Blackwell Ultra Superchip is a 1,300W part that normally lives in a liquid-cooled rack, so what happens to thermals when you put it in a tower? The concern is fair: a GB300 system
The Dell Pro 14 Premium is what Dell calls its ultimate commercial notebook: a 14-inch, 2.54-pound magnesium flagship aimed at highly mobile professionals rather than workstation users. It sits above the Dell Pro and Dell Pro Plus lines, and the pitch is craftsmanship and portability with enterprise security and manageability underneath, not raw compute. The
The MSI XpertStation WS300 is built on NVIDIA’s newest DGX Station architecture, the most capable generation yet, placing a full GB300 Grace Blackwell Ultra node beside your desk. The headline number is 20 petaFLOPS of FP4 compute, delivered by a single Blackwell Ultra GPU tied to a 72-core Grace CPU over a 900GB/s NVLink-C2C link.
The Dell Pro Precision 5 16s AMD brings the Ryzen AI 9 HX PRO 475 into Dell’s larger 16-inch mobile workstation chassis, pairing 12 cores and 24 threads with Radeon 890M graphics and a 60 TOPS NPU. Our review unit adds 64GB of LPDDR5x memory, a 1 TB PCIe Gen4 SSD, and a 2560 x
The HP EliteBook X G2i is HP’s premium 14-inch business notebook, and the company is not shy about the AI branding: the formal model name is the EliteBook X G2i 14-inch Notebook Next Gen AI PC. Our review unit runs Intel’s Core Ultra 7 366H, a Series 3 Panther Lake part with 16 cores and
The Dell Pro Precision 7 16 is the higher-end 16-inch mobile workstation in Dell’s current Pro Precision lineup. Our review unit is built around significantly more GPU power than the 5 16s Intel tested alongside it. It pairs a Series 3 Intel Core Ultra 9 386H, a 16-core Panther Lake processor with a 50 TOPS
The Dell Pro Precision 5 14s AMD is the Ryzen half of Dell’s newest 14-inch mobile workstation. Our review unit runs the Ryzen AI 9 HX PRO 475, a 12-core, 24-thread processor with a 60 TOPS NPU, alongside Radeon 890M integrated graphics, 64GB of LPDDR5x memory, a 1TB Gen4 SSD, and a 14-inch QHD+ display
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
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