GPU comparison
MacBook Pro M5 Max (36GB) vs AMD RX 7900 XTX (24GB) for local LLMs
How the two stack up for running open-source LLMs locally — memory, bandwidth, price, and how many of the 48 tracked models each one can run.
| MacBook Pro M5 Max (36GB) | AMD RX 7900 XTX (24GB) | |
|---|---|---|
| Memory | 36.0 GB | 24.0 GB |
| Bandwidth | 460 GB/s | 960 GB/s |
| Price (approx) | $3,599 | $949 |
| LLMs it runs | 34 of 48 | 34 of 48 |
| Best model it runs | Gemma 4 31B · 15–22 tok/s | Gemma 4 31B · 40–60 tok/s |
Both run the same number of models, but the MacBook Pro M5 Max (36GB) has more memory (36.0 GB), so it can hold larger models at higher quality. The AMD RX 7900 XTX (24GB) has more memory bandwidth (960 GB/s), so it generates tokens faster at the same model and quant.