Hardware Benchmarks

Best Local LLM Performance for Apple M5 Pro

Compare Apple M5 Pro benchmark results and see which models actually earn the best completed quality scores.

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Hardware Overview

GPU-specific specifications for local LLM planning.

Apple M5 Pro
VRAM
64GB

Recommended Models

Models we recommend for Apple M5 Pro.

Fastest

mtplx-qwen38-27b-oq4e-fp16-mtp

27B

486.9 tok/s

Highest token generation speed at 486.9 tok/s.

Best quality & Largest context

ukisai/Swift-1.5-Qwen3.8-27B-GGUF:Q6_K

27B

34.9 tok/sQuality 91.1Context 65,536 tokens

Highest completed quality score at 91.1. Largest context that fits in 64GB VRAM, at 65,536 tokens.

Models on the Apple M5 Pro

Every model the community ran on this hardware. Up is better answers, right is faster. Time to finish counts every token the model wrote, thinking included, so a model that talks a lot ends up further left.

Best trade-off: quality 60+, and nothing else here is both faster and betterOther models · dot size = number of runs
below 20 tok/s: slower than you read0204060801002050100tok/s (log scale) →quality →outliers sit at the edges

Medians over 23 fully rated runs of 18 models. Each quantization is its own model.

Frequently asked questions

Which models actually run best on the Apple M5 Pro, by task, from community benchmark data.

What is the best local model for coding on the Apple M5 Pro?
On the Apple M5 Pro, ukisai/Swift-1.5-Qwen3.8-27B-GGUF:Q6_K ranks first for coding in our benchmarks (92.9/100 at ~34.9 tok/s).
What is the best local model for agentic workflows on the Apple M5 Pro?
On the Apple M5 Pro, unsloth/Qwen3.8-27B-GGUF:UD-Q4_K_M ranks first for agentic workflows in our benchmarks (92.1/100 at ~28.3 tok/s). ukisai/Swift-1.5-Qwen3.8-27B-GGUF:Q6_K is faster (~34.9 tok/s) and still scores well (90.1/100) — a good pick if you'd rather trade a little quality for speed.

Benchmark Results

Completed quality-ranked benchmark results for Apple M5 Pro.