M5 Pro LLM benchmark
No M5 Pro LLM benchmarks yet. Be the first to submit a signed, reproducible tok/s run from your own M5 Pro.
Will it run local LLMs?
No signed M5 Pro run yet, but its 64GB of unified memory tells you what fits. At 4-bit it comfortably runs models up to about 57B parameters with room for context, and up to roughly 91B with tighter quantization. Check a specific model with the VRAM-fit tool.
For measured decode speed on the nearest hardware we have benchmarked: M3 Ultra · M4 Max · M3 Pro. Run the suite on your M5 Pro to fill this page in.
No M5 Pro benchmarks yet.
Run on YOUR hardware to populate this page: pipx install llm-speed && llm-speed bench
$ pipx install llm-speed && llm-speed bench
Community folklore on M5 Pro
2 unverified claims extracted from Reddit/HN comments. Lower trust than signed runs above; every row links to the source.
- communityconfidence 50%
25.00tok/s — on M5 Pro via mlx
our signed data: M5 Pro
“bit benchmarks on M5 Pro 64GB (SwiftLM/MLX, measured):** |Config|Prefill|Decode|GPU RAM active| |:-|:-|:-|:-| |SSD streaming, 4K context|**25 t/s**|\~0.4 t/s|**2.7 GB**| Note: At 4,262-token context depth with a 122B MoE, each decode step streams the full active expert set (\~1…”
- communityconfidence 50%
25.00tok/s — on M5 Pro via mlx
our signed data: M5 Pro
“bit benchmarks on M5 Pro 64GB (SwiftLM/MLX, measured):** |Config|Prefill|Decode|GPU RAM active| |:-|:-|:-|:-| |SSD streaming, 4K context|**25 t/s**|\~0.4 t/s|**2.7 GB**| Note: At 4,262-token context depth with a 122B MoE, each decode step streams the full active expert set (\~1…”
Common questions about M5 Pro
Direct Q&A drawn from the runs above: fastest LLM, supported model classes, backend rankings, quantization guidance.