Performance comparison: which is faster?
GeForce GTX 1660 SUPER (NVIDIA, 2019) and GeForce GTX 1660 (NVIDIA, 2019) are compared here. Compare scores and VRAM, generative AI usability, and CPUs that pair well with each GPU.
Overall performance: GTX 1660 SUPER is about 6.1% faster
Both have 6GB 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 1660 SUPER | GTX 1660 |
|---|---|---|
| Performance Score | 10,500 | 9,900 |
| VRAM | 6GB | 6GB |
| Manufacturer | NVIDIA | NVIDIA |
| Series | GTX 16 | GTX 16 |
| Release Year | 2019 | 2019 |
| Compatible CPU Example | Core i7-5775C | Core i7-3770K |
| If You Want To... | Recommended |
|---|---|
| Prioritize high fps and smooth performance in demanding games | GTX 1660 SUPER |
| Run larger generative AI and LLM models | GTX 1660 SUPER |
| Prioritize value and adequate performance | GTX 1660 (the lower model is often sufficient) |
GTX 1660 SUPER is about 6.1% higher by score (GTX 1660 SUPER: 10500 points / GTX 1660: 9900 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 6GB of VRAM, so the range of generative AI models they can run is nearly the same.
Using our guideline, Core i7-5775C pairs well with GTX 1660 SUPER and Core i7-3770K with GTX 1660 (CPU:GPU ≈ 0.9:1). If the CPU is too weak, replacing the GPU may not raise fps, so check the combination before buying.
