Performance comparison: which is faster?
GeForce GTX 1050 (NVIDIA, 2016) and GeForce GTX 1030 (NVIDIA, 2018) are compared here. Compare scores and VRAM, generative AI usability, and CPUs that pair well with each GPU.
Overall performance: GTX 1050 is about 40.6% faster
Both have 2GB 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 | GTX 1050 | GTX 1030 |
|---|---|---|
| Performance Score | 4,500 | 3,200 |
| VRAM | 2GB | 2GB |
| Manufacturer | NVIDIA | NVIDIA |
| Series | GTX 10 | GTX 10 |
| Release Year | 2016 | 2018 |
| Compatible CPU Example | AMD FX-4100 | Core 2 Quad Q9550 |
| If You Want To... | Recommended |
|---|---|
| Prioritize high fps and smooth performance in demanding games | GTX 1050 |
| Run larger generative AI and LLM models | GTX 1050 |
| Prioritize value and adequate performance | GTX 1030 (the lower model is often sufficient) |
GTX 1050 is about 40.6% higher by score (GTX 1050: 4500 points / GTX 1030: 3200 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 2GB of VRAM, so the range of generative AI models they can run is nearly the same.
Using our guideline, AMD FX-4100 pairs well with GTX 1050 and Core 2 Quad Q9550 with GTX 1030 (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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