A Principled Technologies report: Hands-on testing. Real-world results.

Fast-track your advanced workflows with the space-efficient HP Z2 SFF G1i AI workstation

Compared to an identically configured Dell Pro Max Slim, the compact HP desktop performed better on a range of compute-intensive benchmarks

Jumpstart 3D rendering tasks. With an 8.8 percent higher Blender (The Junk Shop) score. Facilitate 3D modeling and animation. With a 6.6 percent higher SPECapc for Maya score. Energize simulation tasks. With a 14.1 percent higher SPECworkstation 4.0 (Life Sciences) score.

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:

  • Amuse 3.1 AI art creation tool: We generated a high-resolution image and a 2-second video to assess on-device GenAI-assisted content creation performance.
  • Blender benchmark: We executed three workloads to measure hardware capabilities across different 3D rendering scenarios.
  • SPECapc for Maya benchmark: We tested CPU performance using a variety of models and animations.
  • SPECworkstation 4.0 benchmark: We evaluated AI accelerator, CPU, graphics, and storage performance through workflows representative of real-world industry applications.

In all of these comparisons, we found that the HP Z2 SFF G1i outperformed its identically configured Dell counterpart. Read on to learn more.

Accelerate graphics-intensive work from brainstorming to execution

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:

  • Image generation uses a model optimized for fine-grained detail and photorealism, prioritizing quality.
  • Video generation uses a model tuned for rapid output, sacrificing some complexity for efficiency.2

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.

Grouped bar chart comparing Amuse 3.1 performance for two small form factor workstations, in minutes and seconds. Less time is better. For Time to generate an image, HP Z2 SFF G1i bar shows 6:26 and Dell Pro Max Slim bar shows 6:30. For Time to generate a 2-second video, HP Z2 SFF G1i bar shows 2:22 and Dell Pro Max Slim bar shows 2:31. Callout: Comparable time to generate an image. 5.8% less time to generate a 2-second video with the HP Z2 SFF G1i.
Amuse 3.1 art generation results. Source: PT.

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:

  • Monster uses the EEVEE engine for real-time rendering performance of high-resolution frames and animations.
  • The Junk Shop uses the Cycles engine to render a complex 3D splash screen, pushing the desktop’s limits with heavy geography and high-resolution textures.
  • Classroom uses the Cycles engine for realistic lighting and shading.3

Higher samples per minute in these Blender 3D scene comparisons translate to faster renders in these scenarios.

Grouped bar chart comparing Blender samples per minute for two small form factor workstations. Higher is better. For the Classroom model, HP Z2 SFF G1i bar shows 114.44 and Dell Pro Max Slim bar shows 108.61. For the Junk Shop model, HP Z2 SFF G1i bar shows 162.74 and Dell Pro Max Slim bar shows 149.54. For the Monster model, HP Z2 SFF G1i bar shows 256.68 and Dell Pro Max Slim bar shows 238.55. Callout: Up to 8.8% more samples per minute for 3D rendering with the HP Z2 SFF G1i.
Blender benchmark results. Source: PT.

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.

Bar chart comparing SPECapc for Maya CPU composite scores for two small form factor workstations. Higher is better. The HP Z2 SFF G1i bar shows 10.33 and the Dell Pro Max Micro bar shows 9.69. Callout: 6.6% better Maya rendering performance for graphics-intensive work with the HP Z2 SFF G1i.

SPECapc for Maya benchmark results. Source: PT.

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.

Grouped bar chart showing SPECworkstation 4.0 scores across seven industry verticals for two small form factor workstations. Higher is better. For AI & Machine Learning, HP Z2 SFF G1i bar shows 2.43 and Dell Pro Max Slim bar shows 2.36. For Energy, HP Z2 SFF G1i bar shows 2.47 and Dell Pro Max Slim bar shows 2.28. For Product Design, HP Z2 SFF G1i bar shows 2.35 and Dell Pro Max Slim bar shows 2.27. For Financial Services, HP Z2 SFF G1i bar shows 1.95 and Dell Pro Max Slim bar shows 1.74. For Productivity & Development, HP Z2 SFF G1i bar shows 1.33 and Dell Pro Max Slim bar shows 1.29. For Media & Entertainment, HP Z2 SFF G1i bar shows 2.65 and Dell Pro Max Slim bar shows 2.48. For Life Sciences, HP Z2 SFF G1i bar shows 2.82 and Dell Pro Max Slim bar shows 2.47. Callout: Up to 14.1% better performance for your tasks in your industry with the HP Z2 SFF G1i.
SPECworkstation 4.0 benchmark scores. Source: PT.

Conclusion

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.

  1. AMD, “Introducing The World’s First BF16 NPU Model for SD 3.0 Medium – Try Now in Amuse 3.1,” accessed December 15, 2025, https://www.amd.com/en/blogs/2025/worlds-first-bf16-sd3-medium-npu-model.html.
  2. AMD, “Introducing The World’s First BF16 NPU Model for SD 3.0 Medium – Try Now in Amuse 3.1.”
  3. Blender, “Asset Bundles,” accessed December 15, 2025, https://www.blender.org/download/demo-files/.
  4. HP, “HP Z2 SFF G1i,” accessed December 16, 2025, https://www.hp.com/us-en/workstations/z2-small-form-factor.html.
  5. Intel, “Intel Core Ultra 8 Processor 285K,” accessed December 15, 2025, https://www.intel.com/content/www/us/en/products/sku/241060/intel-core-ultra-9-processor-285k-36m-cache-up-to-5-70-ghz/specifications.html.
  6. Intel, “Intel® Core Ultra Desktop Processors (Series 2) Product Brief,” accessed December 15, 2025, https://www.intel.com/content/www/us/en/products/docs/processors/core-ultra/core-ultra-desktop-processors-series-2-brief.html.

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.

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