← All benchmarks

M2 Max (38-core GPU) — LLM Benchmarks

Measured LLM inference benchmarks for M2 Max (38-core GPU) across all RAM configurations (32 GB, 64 GB, 96 GB). 6 benchmark rows across 3 models. Compare how RAM affects throughput. Real runs, not estimates.

6Benchmark rows
3Models tested
3RAM configurations
153.0Fastest 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 — M2 Max (38-core GPU)

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

Chip (RAM)ModelQuantRAM req.Avg tok/sPrompt tok/sRuntimeSource
M2 Max (38-core GPU, 32 GB)Llama 3.2 1B InstructQ4_K - Medium153.0 tok/s2551.4 tok/sref
M2 Max (38-core GPU, 96 GB)Llama 3.1 8B InstructQ4_K - Medium46.4 tok/s484.1 tok/sref
M2 Max (38-core GPU, 32 GB)Llama 3.1 8B InstructQ4_K - Medium44.7 tok/s473.7 tok/sref
M2 Max (38-core GPU, 96 GB)Qwen 2.5 14B InstructQ4_K - Medium25.2 tok/s252.5 tok/sref
M2 Max (38-core GPU, 64 GB)Qwen 2.5 14B InstructQ4_K - Medium22.0 tok/s222.8 tok/sref
M2 Max (38-core GPU, 32 GB)Qwen 2.5 14B InstructQ4_K - Medium20.6 tok/s225.6 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 →