Performance comparison: which is faster?
GeForce GTX 1650 SUPER (NVIDIA, 2019) and GeForce GTX 1060 3GB (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 17.3% faster
For generative AI, the higher-VRAM GTX 1650 SUPER（4GB） 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 3GB |
|---|---|---|
| Performance Score | 8,800 | 7,500 |
| VRAM | 4GB | 3GB |
| Manufacturer | NVIDIA | NVIDIA |
| Series | GTX 16 | GTX 10 |
| Release Year | 2019 | 2016 |
| Compatible CPU Example | Ryzen 3 2200G | Core i5-3570K |
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 1650 SUPER 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 1650 SUPER |
| Prioritize value and adequate performance | GTX 1060 3GB (the lower model is often sufficient) |
GTX 1650 SUPER is about 17.3% higher by score (GTX 1650 SUPER: 8800 points / GTX 1060 3GB: 7500 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 3GB has 3GB; GTX 1650 SUPER 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 i5-3570K with GTX 1060 3GB (CPU:GPU ≈ 0.9:1). If the CPU is too weak, replacing the GPU may not raise fps, so check the combination before buying.
