Performance comparison: which is faster?
NVIDIA V100 SXM2 (NVIDIA, 2017) and GeForce RTX 5060 (NVIDIA, 2025) are compared here. Compare scores and VRAM, generative AI usability, and CPUs that pair well with each GPU.
Overall performance: V100 SXM2 is about 4.8% faster
For generative AI, the higher-VRAM V100 SXM2（32GB） 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 | V100 SXM2 | RTX 5060 |
|---|---|---|
| Performance Score | 22,000 | 21,000 |
| VRAM | 32GB | 8GB |
| Manufacturer | NVIDIA | NVIDIA |
| Series | Datacenter | RTX 50 |
| Release Year | 2017 | 2025 |
| Compatible CPU Example | Core i5-11600 | Ryzen 7 5800 |
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 V100 SXM2 also run here)
| If You Want To... | Recommended |
|---|---|
| Prioritize high fps and smooth performance in demanding games | V100 SXM2 |
| Run larger generative AI and LLM models | V100 SXM2 |
| Prioritize value and adequate performance | RTX 5060 (the lower model is often sufficient) |
V100 SXM2 is about 4.8% higher by score (V100 SXM2: 22000 points / RTX 5060: 21000 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.
V100 SXM2 has 32GB of VRAM, while RTX 5060 has 8GB; V100 SXM2 has more. If image generation or a local LLM is even a possibility, the higher-VRAM option provides more room.
Using our guideline, Core i5-11600 pairs well with V100 SXM2 and Ryzen 7 5800 with RTX 5060 (CPU:GPU ≈ 0.9:1). If the CPU is too weak, replacing the GPU may not raise fps, so check the combination before buying.
