GPU comparison
MacBook Pro M4 Pro (24GB) vs AMD RX 9070 (16GB) for local LLMs
How the two stack up for running open-source LLMs locally — memory, bandwidth, price, and how many of the 64 tracked models each one can run.
| MacBook Pro M4 Pro (24GB) | AMD RX 9070 (16GB) | |
|---|---|---|
| Memory | 24.0 GB | 16.0 GB |
| Bandwidth | 273 GB/s | 645 GB/s |
| Price (approx) | $1,999 | $569 |
| LLMs it runs | 45 of 64 | 45 of 64 |
| Best model it runs | Qwen3.8 27B · 12–19 tok/s | Qwen3.8 27B · 38–58 tok/s |
Both run the same number of models, but the MacBook Pro M4 Pro (24GB) has more memory (24.0 GB), so it can hold larger models at higher quality. The AMD RX 9070 (16GB) has more memory bandwidth (645 GB/s), so it generates tokens faster at the same model and quant.