M5 (10-core GPU) — LLM Benchmarks

Measured LLM inference benchmarks for M5 (10-core GPU) across all RAM configurations (16 GB, 32 GB). 4 benchmark rows across 3 models. Compare how RAM affects throughput. Real runs, not estimates.

4Benchmark rows

3Models tested

2RAM configurations

98.4Fastest avg tok/s

RAM configurations

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

16 GBM5 (10-core GPU, 16 GB)1 rows · 1 models98.1 tok/s peak 32 GBM5 (10-core GPU, 32 GB)3 rows · 3 models98.4 tok/s peak

All benchmark rows — M5 (10-core GPU)

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

Chip (RAM)	Model	Quant	RAM req.	Avg tok/s	Prompt tok/s	Runtime	Source
M5 (10-core GPU, 32 GB)	Llama 3.2 1B Instruct	Q4_K - Medium	—	98.4 tok/s	1271.5 tok/s	—	ref
M5 (10-core GPU, 16 GB)	Llama 3.2 1B Instruct	Q4_K - Medium	—	98.1 tok/s	1244.9 tok/s	—	ref
M5 (10-core GPU, 32 GB)	Llama 3.1 8B Instruct	Q4_K - Medium	—	22.3 tok/s	210.7 tok/s	—	ref
M5 (10-core GPU, 32 GB)	Qwen 2.5 14B Instruct	Q4_K - Medium	—	11.5 tok/s	110.4 tok/s	—	ref

Models tested on M5 (10-core GPU)

Llama 3.1 8B Instruct Llama 3.2 1B Instruct Qwen 2.5 14B Instruct

Data

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 →