M1 Max MacBook Pro Tests Local AI Value

Strong value play if your priority is fitting bigger models into memory, not winning raw benchmark wars.

• –Apple’s own specs confirm the 64GB M1 Max config, and its 400GB/s memory bandwidth is exactly why this machine stays interesting for local inference.
• –Apple’s ML research shows an M1 Max can run Llama 3.1 8B locally at about 33 tokens/s with Core ML, so this is not just theoretical headroom.
• –The practical ceiling is still real: 64GB unified memory is helpful, but it is not the same as a high-VRAM NVIDIA desktop for bigger models or faster throughput.
• –A used PC can absolutely beat it on raw AI performance if the budget lands on the right NVIDIA GPU, but the Mac wins on portability, silence, and an easy all-in-one setup.