Performance comparison: which is faster?
GeForce GTX 1050 (NVIDIA, 2016) and GeForce GTX 580 (NVIDIA, 2011) are compared here. Compare scores and VRAM, generative AI usability, and CPUs that pair well with each GPU.
Overall performance: nearly equal
For generative AI, the higher-VRAM GTX 1050（2GB） has the advantage. For gaming, prioritize performance score and CPU compatibility; for AI, prioritize VRAM.
Relative performance score (higher is faster). Actual fps varies by resolution, game, and CPU configuration.
| Item | GTX 1050 | GTX 580 |
|---|---|---|
| Performance Score | 4,500 | 4,500 |
| VRAM | 2GB | 1.5GB |
| Manufacturer | NVIDIA | NVIDIA |
| Series | GTX 10 | GTX 500 |
| Release Year | 2016 | 2011 |
| Compatible CPU Example | AMD FX-4100 | AMD FX-4100 |
These generative AI models can run on only one GPU because of the VRAM difference (Stable Diffusion, Flux, LLMs, and others).
— None (all models that run on GTX 1050 also run here)
| If You Want To... | Recommended |
|---|---|
| Prioritize high fps and smooth performance in demanding games | GTX 1050 |
| Run larger generative AI and LLM models | GTX 1050 |
| Prioritize value and adequate performance | GTX 1050 (the lower model is often sufficient) |
Their scores are nearly identical (GTX 1050: 4500 points / GTX 580: 4500 points). In this case, compare price, VRAM, and power draw.
GTX 1050 has 2GB of VRAM, while GTX 580 has 1.5GB; GTX 1050 has more. If image generation or a local LLM is even a possibility, the higher-VRAM option provides more room.
Using our guideline, AMD FX-4100 pairs well with GTX 1050 and AMD FX-4100 with GTX 580 (CPU:GPU ≈ 0.9:1). If the CPU is too weak, replacing the GPU may not raise fps, so check the combination before buying.
→ GTX 1050 Details ／ GTX 580 Details ／ Compare Another Combination
