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M1 Max (32-core GPU) — LLM Benchmarks

Measured LLM inference benchmarks for M1 Max (32-core GPU) across all RAM configurations (32 GB, 64 GB). 6 benchmark rows across 3 models. Compare how RAM affects throughput. Real runs, not estimates.

6Benchmark rows
3Models tested
2RAM configurations
125.8Fastest avg tok/s

Each configuration differs only in unified memory. More RAM = larger models fit. Throughput is similar across RAM tiers at the same model size.

All benchmark rows — M1 Max (32-core GPU)

Sorted by avg tok/s descending. Click source badge to see original measurement.

Chip (RAM)ModelQuantRAM req.Avg tok/sPrompt tok/sRuntimeSource
M1 Max (32-core GPU, 32 GB)Llama 3.2 1B InstructQ4_K - Medium125.8 tok/s2025.2 tok/sref
M1 Max (32-core GPU, 64 GB)Llama 3.2 1B InstructQ4_K - Medium120.7 tok/s1972.1 tok/sref
M1 Max (32-core GPU, 64 GB)Llama 3.1 8B InstructQ4_K - Medium37.8 tok/s380.7 tok/sref
M1 Max (32-core GPU, 32 GB)Llama 3.1 8B InstructQ4_K - Medium35.4 tok/s359.9 tok/sref
M1 Max (32-core GPU, 32 GB)Qwen 2.5 14B InstructQ4_K - Medium20.1 tok/s195.8 tok/sref
M1 Max (32-core GPU, 64 GB)Qwen 2.5 14B InstructQ4_K - Medium19.0 tok/s185.9 tok/sref

benchmarks.json — full dataset  ·  chips.json — chip summaries  ·  benchmarks.csv — CSV export

Data sourced from factory lab measurements and community reference runs. See all chips →