Performance comparison: which is faster?
GeForce GTX 1070 (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: nearly equal
For generative AI, the higher-VRAM GTX 1070（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 1070 | GTX 1660 SUPER |
|---|---|---|
| Performance Score | 10,500 | 10,500 |
| VRAM | 8GB | 6GB |
| Manufacturer | NVIDIA | NVIDIA |
| Series | GTX 10 | GTX 16 |
| Release Year | 2016 | 2019 |
| Compatible CPU Example | Core i7-5775C | 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 1070 also run here)
| If You Want To... | Recommended |
|---|---|
| Prioritize high fps and smooth performance in demanding games | GTX 1070 |
| Run larger generative AI and LLM models | GTX 1070 |
| Prioritize value and adequate performance | GTX 1070 (the lower model is often sufficient) |
Their scores are nearly identical (GTX 1070: 10500 points / GTX 1660 SUPER: 10500 points). In this case, compare price, VRAM, and power draw.
GTX 1070 has 8GB of VRAM, while GTX 1660 SUPER has 6GB; GTX 1070 has more. If image generation or a local LLM is even a possibility, the higher-VRAM option provides more room.
Using our guideline, Core i7-5775C pairs well with GTX 1070 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.
→ GTX 1070 Details ／ GTX 1660 SUPER Details ／ Compare Another Combination
