GPU comparison
NVIDIA RTX 5060 (8GB) vs Intel Arc B580 (12GB) for local LLMs
How the two stack up for running open-source LLMs locally — memory, bandwidth, price, and how many of the 64 tracked models each one can run.
| NVIDIA RTX 5060 (8GB) | Intel Arc B580 (12GB) | |
|---|---|---|
| Memory | 8.0 GB | 12.0 GB |
| Bandwidth | 448 GB/s | 456 GB/s |
| Price (approx) | $449 | $289 |
| LLMs it runs | 22 of 64 | 27 of 64 |
| Best model it runs | Gemma 4 12B · 55–83 tok/s | Devstral Small 2 24B · 32–48 tok/s |
The Intel Arc B580 (12GB) runs 5 more of the tracked models (27 vs 22), thanks to its 12.0 GB of memory. The Intel Arc B580 (12GB) has more memory bandwidth (456 GB/s), so it generates tokens faster at the same model and quant.