Performance comparison: which is faster?
GeForce RTX 4080 SUPER (NVIDIA, 2024) and GeForce RTX 5070 (NVIDIA, 2025) are compared here. Compare scores and VRAM, generative AI usability, and CPUs that pair well with each GPU.
Overall performance: RTX 4080 SUPER is about 26.8% faster
For generative AI, the higher-VRAM RTX 4080 SUPER（16GB） 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 4080 SUPER | RTX 5070 |
|---|---|---|
| Performance Score | 35,500 | 28,000 |
| VRAM | 16GB | 12GB |
| Manufacturer | NVIDIA | NVIDIA |
| Series | RTX 40 | RTX 50 |
| Release Year | 2024 | 2025 |
| Compatible CPU Example | Ryzen 9 9950X3D | Core i7-13700K |
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 4080 SUPER also run here)
| If You Want To... | Recommended |
|---|---|
| Prioritize high fps and smooth performance in demanding games | RTX 4080 SUPER |
| Run larger generative AI and LLM models | RTX 4080 SUPER |
| Prioritize value and adequate performance | RTX 5070 (the lower model is often sufficient) |
RTX 4080 SUPER is about 26.8% higher by score (RTX 4080 SUPER: 35500 points / RTX 5070: 28000 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 4080 SUPER has 16GB of VRAM, while RTX 5070 has 12GB; RTX 4080 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 9 9950X3D pairs well with RTX 4080 SUPER and Core i7-13700K with RTX 5070 (CPU:GPU ≈ 0.9:1). If the CPU is too weak, replacing the GPU may not raise fps, so check the combination before buying.
