M1 (8-core GPU) — LLM Benchmarks

Measured LLM inference benchmarks for M1 (8-core GPU) across all RAM configurations (8 GB, 16 GB). 4 benchmark rows across 3 models. Compare how RAM affects throughput. Real runs, not estimates.

4Benchmark rows

3Models tested

2RAM configurations

40.4Fastest 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.

8 GBM1 (8-core GPU, 8 GB)2 rows · 2 models40.4 tok/s peak 16 GBM1 (8-core GPU, 16 GB)2 rows · 2 models40.2 tok/s peak

All benchmark rows — M1 (8-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
M1 (8-core GPU, 8 GB)	Llama 3.2 1B Instruct	Q4_K - Medium	—	40.4 tok/s	607.4 tok/s	—	ref
M1 (8-core GPU, 16 GB)	Llama 3.2 1B Instruct	Q4_K - Medium	—	40.2 tok/s	585.7 tok/s	—	ref
M1 (8-core GPU, 8 GB)	Llama 3.1 8B Instruct	Q4_K - Medium	—	14.6 tok/s	133.9 tok/s	—	ref
M1 (8-core GPU, 16 GB)	Qwen 2.5 14B Instruct	Q4_K - Medium	—	5.4 tok/s	53.3 tok/s	—	ref

Models tested on M1 (8-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 →