GPU comparison
MacBook Pro / Mac mini M4 Pro (24GB) 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 M4 Pro (24GB) | NVIDIA RTX 5060 (8GB) | |
|---|---|---|
| Memory | 24.0 GB | 8.0 GB |
| Bandwidth | 273 GB/s | 448 GB/s |
| Price (approx) | $1,999 | $449 |
| LLMs it runs | 45 of 64 | 22 of 64 |
| Best model it runs | Qwen3.8 27B · 12–19 tok/s | Gemma 4 12B · 55–83 tok/s |
The MacBook Pro / Mac mini M4 Pro (24GB) runs 23 more of the tracked models (45 vs 22), thanks to its 24.0 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.