Apple M1 (8-core GPU) × Llama 3.2 1B Instruct

Llama 3.2 1B Instruct on Apple M1 (8-core GPU)

41.4best gen tok/s
615best prompt tok/s
4,352max context tested
10results

Measured · all numbers below come from the linked sources

llama.cpp

QuantGen tok/sPrompt tok/sSourceContext testedTTFTBuild
Q4_K - Medium41.4612LocalScore ↗512+1282,150 msllamafile 0.9.2
Q4_K - Medium41.2608LocalScore ↗512+1282,181 msllamafile 0.9.2
Q4_K - Medium40.9601LocalScore ↗512+1282,180 msllamafile 0.9.2
Q4_K - Medium40.7615LocalScore ↗512+1282,111 msllamafile 0.9.2
Q4_K - Medium40.6579LocalScore ↗512+1282,244 msllamafile 0.9.2
Q4_K - Medium39.7606LocalScore ↗512+1282,187 msllamafile 0.9.2
Q4_K - Medium39.1596LocalScore ↗512+1282,209 msllamafile 0.9.2
Q4_K - Medium39.0578LocalScore ↗512+1282,315 msllamafile 0.9.2
Q4_K - Medium38.7579LocalScore ↗4,3522,239 msllamafile 0.9.2
Q4_K - Medium22.1369LocalScore ↗512+1283,895 msllamafile 0.9.2

Ollama

No measured Ollama results yet. Submit yours →

MLX

No measured MLX results yet. Submit yours →

"Context tested" is the largest prompt+generation length actually benchmarked (tokens), not a memory-fit estimate.

What else can Apple M1 (8-core GPU) run? →

Includes results from LocalScore, a Mozilla Builders project by cjpais, mirrored in the cn0303/local-llm-speed-benchmarks dataset. LocalScore runs use llamafile, which is built on llama.cpp.