Performance comparison: which is faster?
GeForce GTX 1080 (NVIDIA, 2016) and GeForce GTX 1660 SUPER (NVIDIA, 2019) are compared here. Compare scores and VRAM, generative AI usability, and CPUs that pair well with each GPU.
Overall performance: GTX 1080 is about 14.3% faster
For generative AI, the higher-VRAM GTX 1080（8GB） 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 1080 | GTX 1660 SUPER |
|---|---|---|
| Performance Score | 12,000 | 10,500 |
| VRAM | 8GB | 6GB |
| Manufacturer | NVIDIA | NVIDIA |
| Series | GTX 10 | GTX 16 |
| Release Year | 2016 | 2019 |
| Compatible CPU Example | AMD FX-9590 | Core i7-5775C |
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 1080 also run here)
| If You Want To... | Recommended |
|---|---|
| Prioritize high fps and smooth performance in demanding games | GTX 1080 |
| Run larger generative AI and LLM models | GTX 1080 |
| Prioritize value and adequate performance | GTX 1660 SUPER (the lower model is often sufficient) |
GTX 1080 is about 14.3% higher by score (GTX 1080: 12000 points / GTX 1660 SUPER: 10500 points). Actual fps also varies by resolution, game, and CPU, so price is a reasonable deciding factor when the gap is only a few percent.
GTX 1080 has 8GB of VRAM, while GTX 1660 SUPER has 6GB; GTX 1080 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-9590 pairs well with GTX 1080 and Core i7-5775C with GTX 1660 SUPER (CPU:GPU ≈ 0.9:1). If the CPU is too weak, replacing the GPU may not raise fps, so check the combination before buying.
