Performance comparison: which is faster?
GeForce RTX 2060 SUPER (NVIDIA, 2019) and GeForce GTX 1080 (NVIDIA, 2016) are compared here. Compare scores and VRAM, generative AI usability, and CPUs that pair well with each GPU.
Overall performance: RTX 2060 SUPER is about 8.3% 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 | RTX 2060 SUPER | GTX 1080 |
|---|---|---|
| Performance Score | 13,000 | 12,000 |
| VRAM | 8GB | 8GB |
| Manufacturer | NVIDIA | NVIDIA |
| Series | RTX 20 | GTX 10 |
| Release Year | 2019 | 2016 |
| Compatible CPU Example | Core i7-6700K | AMD FX-9590 |
| If You Want To... | Recommended |
|---|---|
| Prioritize high fps and smooth performance in demanding games | RTX 2060 SUPER |
| Run larger generative AI and LLM models | RTX 2060 SUPER |
| Prioritize value and adequate performance | GTX 1080 (the lower model is often sufficient) |
RTX 2060 SUPER is about 8.3% higher by score (RTX 2060 SUPER: 13000 points / GTX 1080: 12000 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, Core i7-6700K pairs well with RTX 2060 SUPER and AMD FX-9590 with GTX 1080 (CPU:GPU ≈ 0.9:1). If the CPU is too weak, replacing the GPU may not raise fps, so check the combination before buying.
