GPU comparison
MacBook Pro M5 Pro (64GB) vs NVIDIA RTX 5060 Ti (16GB) for local LLMs
How the two stack up for running open-source LLMs locally — memory, bandwidth, price, and how many of the 48 tracked models each one can run.
| MacBook Pro M5 Pro (64GB) | NVIDIA RTX 5060 Ti (16GB) | |
|---|---|---|
| Memory | 64.0 GB | 16.0 GB |
| Bandwidth | 307 GB/s | 448 GB/s |
| Price (approx) | $3,399 | $549 |
| LLMs it runs | 37 of 48 | 27 of 48 |
| Best model it runs | Gemma 4 31B · 12–18 tok/s | Gemma 4 26B-A4B (MoE) · 103–155 tok/s |
The MacBook Pro M5 Pro (64GB) runs 10 more of the tracked models (37 vs 27), thanks to its 64.0 GB of memory. The NVIDIA RTX 5060 Ti (16GB) has more memory bandwidth (448 GB/s), so it generates tokens faster at the same model and quant.