GPU comparison
MacBook Pro / Mac mini M5 Pro (64GB) vs NVIDIA RTX 5060 (8GB) 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 / Mac mini M5 Pro (64GB) | NVIDIA RTX 5060 (8GB) | |
|---|---|---|
| Memory | 64.0 GB | 8.0 GB |
| Bandwidth | 307 GB/s | 448 GB/s |
| Price (approx) | $2,699 | $449 |
| LLMs it runs | 52 of 64 | 22 of 64 |
| Best model it runs | Qwen3.8 27B · 14–21 tok/s | Gemma 4 12B · 55–83 tok/s |
The MacBook Pro / Mac mini M5 Pro (64GB) runs 30 more of the tracked models (52 vs 22), thanks to its 64.0 GB of memory. The NVIDIA RTX 5060 (8GB) has more memory bandwidth (448 GB/s), so it generates tokens faster at the same model and quant.