GPU comparison
MacBook Pro M5 Pro (24GB) 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 Pro M5 Pro (24GB) | AMD RX 7900 XTX (24GB) | |
|---|---|---|
| Memory | 24.0 GB | 24.0 GB |
| Bandwidth | 307 GB/s | 960 GB/s |
| Price (approx) | $2,199 | $949 |
| LLMs it runs | 21 of 34 | 25 of 34 |
| Best model it runs | Gemma 4 31B · 12–18 tok/s | Gemma 4 31B · 40–60 tok/s |
The AMD RX 7900 XTX (24GB) runs 4 more of the tracked models (25 vs 21). With the same nominal memory, more of it is usable for model weights on this architecture. The AMD RX 7900 XTX (24GB) has more memory bandwidth (960 GB/s), so it generates tokens faster at the same model and quant.