Performance comparison: which is faster?
GeForce RTX 2060 SUPER (NVIDIA, 2019) and GeForce RTX 4050 Laptop GPU (NVIDIA, 2023) 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 4% faster
For generative AI, the higher-VRAM RTX 2060 SUPER（8GB） 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 | RTX 2060 SUPER | RTX 4050 Laptop GPU |
|---|---|---|
| Performance Score | 13,000 | 12,500 |
| VRAM | 8GB | 6GB |
| Manufacturer | NVIDIA | NVIDIA |
| Series | RTX 20 | RTX 40 |
| Release Year | 2019 | 2023 |
| Compatible CPU Example | Core i7-6700K | Core Ultra 5 135U |
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 RTX 2060 SUPER also run here)
| 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 | RTX 4050 Laptop GPU (the lower model is often sufficient) |
RTX 2060 SUPER is about 4% higher by score (RTX 2060 SUPER: 13000 points / RTX 4050 Laptop GPU: 12500 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.
RTX 2060 SUPER has 8GB of VRAM, while RTX 4050 Laptop GPU has 6GB; RTX 2060 SUPER has more. If image generation or a local LLM is even a possibility, the higher-VRAM option provides more room.
Using our guideline, Core i7-6700K pairs well with RTX 2060 SUPER and Core Ultra 5 135U with RTX 4050 Laptop GPU (CPU:GPU ≈ 0.9:1). If the CPU is too weak, replacing the GPU may not raise fps, so check the combination before buying.
