Performance comparison: which is faster?
GeForce GTX 1080 (NVIDIA, 2016) and GeForce GTX 1070 (NVIDIA, 2016) 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
Both have 8GB of VRAM, so they support a similar range of generative AI models. 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 1070 |
|---|---|---|
| Performance Score | 12,000 | 10,500 |
| VRAM | 8GB | 8GB |
| Manufacturer | NVIDIA | NVIDIA |
| Series | GTX 10 | GTX 10 |
| Release Year | 2016 | 2016 |
| Compatible CPU Example | AMD FX-9590 | Core i7-5775C |
| 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 1070 (the lower model is often sufficient) |
GTX 1080 is about 14.3% higher by score (GTX 1080: 12000 points / GTX 1070: 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.
Both have 8GB of VRAM, so the range of generative AI models they can run is nearly the same.
Using our guideline, AMD FX-9590 pairs well with GTX 1080 and Core i7-5775C with GTX 1070 (CPU:GPU ≈ 0.9:1). If the CPU is too weak, replacing the GPU may not raise fps, so check the combination before buying.
