A Principled Technologies report: Hands-on testing. Real-world results.
Workstation specs alone don’t always tell the whole story. We compared two identically configured small form factor (SFF) desktop systems: the HP Z2 SFF G1i and the Dell® Pro Max Slim. Both desktops contained Intel® Core™ Ultra 9 285K processors, 64 GB of DDR5 memory, 1 TB of NVMe® PCIe® SSD storage, and NVIDIA RTX™ 4000 SFF Ada Generation graphics.
To evaluate performance differences from multiple perspectives, we used an on-device, AI-enabled art creation tool and ran several compute- and graphics-intensive benchmarks on both workstations:
In all of these comparisons, we found that the HP Z2 SFF G1i outperformed its identically configured Dell counterpart. Read on to learn more.
From 3D modeling and simulation to advanced visualization, high-performance workstations enable creators and engineers to tackle demanding workflows with ease. When every second matters, even small performance gains can make a big difference. With more powerful desktops, teams can iterate faster, solve problems more efficiently, and push the boundaries of design and innovation without being slowed down by hardware limitations.
To assess each desktop’s capability for on-device GenAI-assisted content creation tasks, we used the Amuse 3.1 AI art tool to generate both images and videos.1 While it might seem intuitive that video generation will take longer than image generation, our testing revealed the opposite. The reason lies in the models Amuse 3.1 employs:
While a few seconds saved here and there may not seem very important, these content creation efforts are often not one-and-done tasks. Faster turnaround times mean more time to explore ideas and get polished projects out the door faster.
Note: The graphs in this report use different scales to keep a consistent size. Please be mindful of each graph’s data range as you compare.
To measure hardware capabilities across different 3D rendering scenarios, we executed three workloads in the Blender benchmark. Each of the Blender workloads stresses the hardware in different ways, so you can reference the score that best aligns with your workflow:
Higher samples per minute in these Blender 3D scene comparisons translate to faster renders in these scenarios.
Autodesk® Maya is a leading tool for creating realistic 3D characters and special effects for films, animations, and games. The SPECapc for Maya benchmark measures system performance across a range of common Maya tasks using 11 models and animations. If your organization works in gaming or media and entertainment, you’re likely already familiar with Maya. Even if you don’t use Maya directly, these results serve as an excellent proxy for other compute- and graphics-intensive applications used for image generation, editing, and rendering.
No single performance metric can fully predict real-world user experience or overall value. The SPECworkstation 4.0 benchmark provides a more holistic view by measuring AI accelerator, CPU, graphics, and storage performance across multiple industry-specific workflows.
Higher scores in these verticals translate to faster and more efficient task execution for specialized teams—helping them complete complex projects with greater speed and productivity.
We compared compute- and graphics-intensive performance on HP Z2 SFF G1i and Dell Pro Max Slim workstations equipped with identical Intel® Core™ Ultra 9 285K processors, NVIDIA RTX™ 4000 SFF Ada Generation graphics, 64 GB of memory, and 1 TB of storage. We found that the HP Z2 SFF G1i received higher benchmark scores in 3D rendering and animation as well as industry-specific scenarios. For space-constrained creative and technical professionals tackling 3D rendering projects, or anyone tackling other compute- or graphics-intensive work, the HP Z2 SFF G1i is a solid choice.
This project was commissioned by HP.
February 2026
Principled Technologies is a registered trademark of Principled Technologies, Inc.
All other product names are the trademarks of their respective owners.
Principled Technologies is a registered trademark of Principled Technologies, Inc.
All other product names are the trademarks of their respective owners.
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Principled Technologies, Inc. has made reasonable efforts to ensure the accuracy and validity of its testing, however, Principled Technologies, Inc. specifically disclaims any warranty, expressed or implied, relating to the test results and analysis, their accuracy, completeness or quality, including any implied warranty of fitness for any particular purpose. All persons or entities relying on the results of any testing do so at their own risk, and agree that Principled Technologies, Inc., its employees and its subcontractors shall have no liability whatsoever from any claim of loss or damage on account of any alleged error or defect in any testing procedure or result.
In no event shall Principled Technologies, Inc. be liable for indirect, special, incidental, or consequential damages in connection with its testing, even if advised of the possibility of such damages. In no event shall Principled Technologies, Inc.’s liability, including for direct damages, exceed the amounts paid in connection with Principled Technologies, Inc.’s testing. Customer’s sole and exclusive remedies are as set forth herein.