GPU comparison
MacBook Air/Pro M4 (16GB) 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 34 tracked models each one can run.
| MacBook Air/Pro M4 (16GB) | AMD RX 9070 (16GB) | |
|---|---|---|
| Memory | 16.0 GB | 16.0 GB |
| Bandwidth | 120 GB/s | 645 GB/s |
| Price (approx) | $1,199 | $569 |
| LLMs it runs | 13 of 34 | 18 of 34 |
| Best model it runs | Devstral Small 2 24B · 8–12 tok/s | Gemma 4 26B-A4B (MoE) · 132–198 tok/s |
The AMD RX 9070 (16GB) runs 5 more of the tracked models (18 vs 13). With the same nominal memory, more of it is usable for model weights on this architecture. The AMD RX 9070 (16GB) has more memory bandwidth (645 GB/s), so it generates tokens faster at the same model and quant.