GPU comparison
MacBook Pro M5 Pro (24GB) 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 Pro M5 Pro (24GB) | Intel Arc B580 (12GB) | |
|---|---|---|
| Memory | 24.0 GB | 12.0 GB |
| Bandwidth | 307 GB/s | 456 GB/s |
| Price (approx) | $2,199 | $289 |
| LLMs it runs | 21 of 34 | 13 of 34 |
| Best model it runs | Gemma 4 31B · 12–18 tok/s | Devstral Small 2 24B · 32–48 tok/s |
The MacBook Pro M5 Pro (24GB) runs 8 more of the tracked models (21 vs 13), thanks to its 24.0 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.