Performance comparison: which is faster?
GeForce GTX 1650 SUPER (NVIDIA, 2019) and GeForce GTX 1060 6GB (NVIDIA, 2016) are compared here. Compare scores and VRAM, generative AI usability, and CPUs that pair well with each GPU.
Overall performance: GTX 1650 SUPER is about 3.5% faster
For generative AI, the higher-VRAM GTX 1060 6GB（6GB） 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 1650 SUPER | GTX 1060 6GB |
|---|---|---|
| Performance Score | 8,800 | 8,500 |
| VRAM | 4GB | 6GB |
| Manufacturer | NVIDIA | NVIDIA |
| Series | GTX 16 | GTX 10 |
| Release Year | 2019 | 2016 |
| Compatible CPU Example | Ryzen 3 2200G | Core i3-9100 |
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 1060 6GB also run here)
| If You Want To... | Recommended |
|---|---|
| Prioritize high fps and smooth performance in demanding games | GTX 1650 SUPER |
| Run larger generative AI and LLM models | GTX 1060 6GB |
| Prioritize value and adequate performance | GTX 1060 6GB (the lower model is often sufficient) |
GTX 1650 SUPER is about 3.5% higher by score (GTX 1650 SUPER: 8800 points / GTX 1060 6GB: 8500 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 1650 SUPER has 4GB of VRAM, while GTX 1060 6GB has 6GB; GTX 1060 6GB has more. If image generation or a local LLM is even a possibility, the higher-VRAM option provides more room.
Using our guideline, Ryzen 3 2200G pairs well with GTX 1650 SUPER and Core i3-9100 with GTX 1060 6GB (CPU:GPU ≈ 0.9:1). If the CPU is too weak, replacing the GPU may not raise fps, so check the combination before buying.
