Performance comparison: which is faster?
GeForce RTX 4080 Laptop GPU (NVIDIA, 2023) 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: nearly equal
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 4080 Laptop GPU | V100 SXM2 |
|---|---|---|
| Performance Score | 22,000 | 22,000 |
| VRAM | 12GB | 32GB |
| Manufacturer | NVIDIA | NVIDIA |
| Series | RTX 40 | Datacenter |
| Release Year | 2023 | 2017 |
| Compatible CPU Example | Core i5-13420H | Core i5-11600 |
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 | RTX 4080 Laptop GPU |
| Run larger generative AI and LLM models | V100 SXM2 |
| Prioritize value and adequate performance | RTX 4080 Laptop GPU (the lower model is often sufficient) |
Their scores are nearly identical (RTX 4080 Laptop GPU: 22000 points / V100 SXM2: 22000 points). In this case, compare price, VRAM, and power draw.
RTX 4080 Laptop GPU has 12GB 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, Core i5-13420H pairs well with RTX 4080 Laptop GPU 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.
→ RTX 4080 Laptop GPU Details ／ V100 SXM2 Details ／ Compare Another Combination
