GPU comparison
MacBook Air/Pro M5 (16GB) 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 34 tracked models each one can run.
| MacBook Air/Pro M5 (16GB) | AMD RX 7900 XTX (24GB) | |
|---|---|---|
| Memory | 16.0 GB | 24.0 GB |
| Bandwidth | 153 GB/s | 960 GB/s |
| Price (approx) | $1,099 | $949 |
| LLMs it runs | 13 of 34 | 25 of 34 |
| Best model it runs | Devstral Small 2 24B · 10–15 tok/s | Gemma 4 31B · 40–60 tok/s |
The AMD RX 7900 XTX (24GB) runs 12 more of the tracked models (25 vs 13), thanks to its 24.0 GB of memory. The AMD RX 7900 XTX (24GB) has more memory bandwidth (960 GB/s), so it generates tokens faster at the same model and quant.