GPU comparison
MacBook Air/Pro M5 (16GB) 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 34 tracked models each one can run.
| MacBook Air/Pro M5 (16GB) | Intel Arc B580 (12GB) | |
|---|---|---|
| Memory | 16.0 GB | 12.0 GB |
| Bandwidth | 153 GB/s | 456 GB/s |
| Price (approx) | $1,099 | $289 |
| LLMs it runs | 13 of 34 | 13 of 34 |
| Best model it runs | Devstral Small 2 24B · 10–15 tok/s | Devstral Small 2 24B · 32–48 tok/s |
Both run the same number of models, but the MacBook Air/Pro M5 (16GB) has more memory (16.0 GB), so it can hold larger models at higher quality. The Intel Arc B580 (12GB) has more memory bandwidth (456 GB/s), so it generates tokens faster at the same model and quant.