Performance comparison: which is faster?
GeForce RTX 5080 (NVIDIA, 2025) and GeForce RTX 4080 SUPER (NVIDIA, 2024) are compared here. Compare scores and VRAM, generative AI usability, and CPUs that pair well with each GPU.
Overall performance: RTX 5080 is about 1.4% faster
Both have 16GB 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 | RTX 5080 | RTX 4080 SUPER |
|---|---|---|
| Performance Score | 36,000 | 35,500 |
| VRAM | 16GB | 16GB |
| Manufacturer | NVIDIA | NVIDIA |
| Series | RTX 50 | RTX 40 |
| Release Year | 2025 | 2024 |
| Compatible CPU Example | Ryzen 9 9950X3D | Ryzen 9 9950X3D |
| If You Want To... | Recommended |
|---|---|
| Prioritize high fps and smooth performance in demanding games | RTX 5080 |
| Run larger generative AI and LLM models | RTX 5080 |
| Prioritize value and adequate performance | RTX 4080 SUPER (the lower model is often sufficient) |
RTX 5080 is about 1.4% higher by score (RTX 5080: 36000 points / RTX 4080 SUPER: 35500 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 16GB of VRAM, so the range of generative AI models they can run is nearly the same.
Using our guideline, Ryzen 9 9950X3D pairs well with RTX 5080 and Ryzen 9 9950X3D with RTX 4080 SUPER (CPU:GPU ≈ 0.9:1). If the CPU is too weak, replacing the GPU may not raise fps, so check the combination before buying.
