Performance comparison: which is faster?
GeForce RTX 5060 Ti (NVIDIA, 2025) and NVIDIA V100 SXM2 (NVIDIA, 2017) are compared here. Compare scores and VRAM, generative AI usability, and CPUs that pair well with each GPU.
Overall performance: RTX 5060 Ti is about 9.1% 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 | RTX 5060 Ti | V100 SXM2 |
|---|---|---|
| Performance Score | 24,000 | 22,000 |
| VRAM | 8GB / 16GB | 32GB |
| Manufacturer | NVIDIA | NVIDIA |
| Series | RTX 50 | Datacenter |
| Release Year | 2025 | 2017 |
| Compatible CPU Example | Ryzen 9 5900X | Core i5-11600 |
These generative AI models can run on only one GPU because of the VRAM difference (Stable Diffusion, Flux, LLMs, and others).
For models sold with multiple VRAM configurations, this comparison uses the lower-capacity configuration.
— 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 | RTX 5060 Ti |
| Run larger generative AI and LLM models | V100 SXM2 |
| Prioritize value and adequate performance | V100 SXM2 (the lower model is often sufficient) |
RTX 5060 Ti is about 9.1% higher by score (RTX 5060 Ti: 24000 points / V100 SXM2: 22000 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 5060 Ti has 8GB / 16GB of VRAM, while V100 SXM2 has 32GB; 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, Ryzen 9 5900X pairs well with RTX 5060 Ti and Core i5-11600 with V100 SXM2 (CPU:GPU ≈ 0.9:1). If the CPU is too weak, replacing the GPU may not raise fps, so check the combination before buying.
