Performance comparison: which is faster?
GeForce RTX 4050 Laptop GPU (NVIDIA, 2023) and GeForce GTX 1080 (NVIDIA, 2016) are compared here. Compare scores and VRAM, generative AI usability, and CPUs that pair well with each GPU.
Overall performance: RTX 4050 Laptop GPU is about 4.2% faster
For generative AI, the higher-VRAM GTX 1080(8GB) 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 4050 Laptop GPU | GTX 1080 |
|---|---|---|
| Performance Score | 12,500 | 12,000 |
| VRAM | 6GB | 8GB |
| Manufacturer | NVIDIA | NVIDIA |
| Series | RTX 40 | GTX 10 |
| Release Year | 2023 | 2016 |
| Compatible CPU Example | Core Ultra 5 135U | AMD FX-9590 |
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 GTX 1080 also run here)
| If You Want To... | Recommended |
|---|---|
| Prioritize high fps and smooth performance in demanding games | RTX 4050 Laptop GPU |
| Run larger generative AI and LLM models | GTX 1080 |
| Prioritize value and adequate performance | GTX 1080 (the lower model is often sufficient) |
RTX 4050 Laptop GPU is about 4.2% higher by score (RTX 4050 Laptop GPU: 12500 points / GTX 1080: 12000 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 4050 Laptop GPU has 6GB of VRAM, while GTX 1080 has 8GB; GTX 1080 has more. If image generation or a local LLM is even a possibility, the higher-VRAM option provides more room.
Using our guideline, Core Ultra 5 135U pairs well with RTX 4050 Laptop GPU and AMD FX-9590 with GTX 1080 (CPU:GPU ≈ 0.9:1). If the CPU is too weak, replacing the GPU may not raise fps, so check the combination before buying.
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