GPU comparison
MacBook Air/Pro M5 (32GB) 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 (32GB) | Intel Arc B580 (12GB) | |
|---|---|---|
| Memory | 32.0 GB | 12.0 GB |
| Bandwidth | 153 GB/s | 456 GB/s |
| Price (approx) | $1,499 | $289 |
| LLMs it runs | 25 of 34 | 13 of 34 |
| Best model it runs | Gemma 4 31B · 6–9 tok/s | Devstral Small 2 24B · 32–48 tok/s |
The MacBook Air/Pro M5 (32GB) runs 12 more of the tracked models (25 vs 13), thanks to its 32.0 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.