This article will look at how different PC graphic cards perform. I’ll share insights from benchmark tests. These tests cover tasks like AI image generation with Stable Diffusion. This will help us understand the strengths and weaknesses of each GPU.
Key Takeaways:
- Benchmark tests offer valuable insights into the performance of PC graphic cards.
- Data collected from multiple sources ensures a comprehensive evaluation of different GPUs.
- Stable Diffusion, an AI image generation task, is used as a benchmarking test.
- Nvidia GPUs, particularly the RTX series, exhibit superior performance in AI workloads.
- AMD GPUs show improvement but still lag behind Nvidia in terms of performance.
Performance of Reference Design GPUs in Stable Diffusion 512×512 and 768×768
Our tests looked at how well reference GPUs run Stable Diffusion, an AI image generator. We checked new models from Nvidia, AMD, and Intel. This helped us see which ones are best for AI tasks. We paid special attention to two sizes: 512×512 and 768×768.
Results at 512×512 Resolution
Nvidia GPUs, especially the RTX 4090, stood out at 512×512. They were the top performers, leaving AMD and Intel behind. Despite high hopes, the AMD RX 7900 XTX fell short, getting beat by both RX 6950 XT and the RX 6000-series.
Intel’s best, the Arc A770 16GB, also couldn’t match up. This showed Nvidia’s strength in this type of work. As for the rest, Nvidia led the pack.
Results at 768×768 Resolution
Increasing to 768×768, Nvidia GPUs kept their lead. Even though AMD and Intel tried, they were clearly slower. The gap between the best Nvidia and Intel’s Arc A770 16GB got bigger. This proves Nvidia is better for bigger tasks in Stable Diffusion.
Overall, Nvidia’s reference GPUs did the best at running Stable Diffusion. They beat AMD and Intel in both resolutions. It shows they are right for AI jobs. But remember, what GPU works best can change depending on the project and the specific GPU.
GPU Brand | Model | 512×512 Performance | 768×768 Performance |
---|---|---|---|
Nvidia | RTX 4090 | High | High |
AMD | RX 7900 XTX | Low | Low |
AMD | RX 6950 XT | Medium | Medium |
AMD | RX 6000-series | Medium | Medium |
Intel | Arc A770 16GB | Low | Low |
Conclusion
Nvidia’s GPUs, especially the RTX series, shine bright in AI tasks like Stable Diffusion.
The RTX 4090 leads the pack, showing top-tier performance. Other RTX models also do remarkably well.
AMD has made gains with its RDNA 3 architecture but lags behind Nvidia’s performance. Intel’s Arc GPUs find it tough to keep up, especially at higher resolutions.
Yet, performance can vary based on the AI project and the GPU’s design. So, this benchmark offers key insights for anyone thinking about upgrading their PC’s graphics card for AI tasks.