Apple M2 Ultra (76-core GPU) × Llama 2 7B

Llama 2 7B on Apple M2 Ultra (76-core GPU)

109best gen tok/s
1,561best prompt tok/s
640max context tested
12results

Measured · all numbers below come from the linked sources

llama.cpp

QuantGen tok/sPrompt tok/sSourceContext testedTTFTBuild
Q4_01091,412llama.cpp (Metal) ↗512+128—llama.cpp Metal
Q4_01091,392llama.cpp (Metal) ↗512+128—llama.cpp Metal
Q4_094.31,238llama.cpp (Metal) ↗512+128—llama.cpp Metal
Q4_094.31,238llama.cpp (Metal) ↗512+128—llama.cpp Metal
Q8_073.31,387llama.cpp (Metal) ↗512+128—llama.cpp Metal
Q8_073.11,368llama.cpp (Metal) ↗512+128—llama.cpp Metal
Q8_066.61,249llama.cpp (Metal) ↗512+128—llama.cpp Metal
Q8_066.61,249llama.cpp (Metal) ↗512+128—llama.cpp Metal
F1643.21,561llama.cpp (Metal) ↗512+128—llama.cpp Metal
F1643.11,526llama.cpp (Metal) ↗512+128—llama.cpp Metal
F1641.01,402llama.cpp (Metal) ↗512+128—llama.cpp Metal
F1641.01,402llama.cpp (Metal) ↗512+128—llama.cpp Metal

Ollama

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MLX

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

What else can Apple M2 Ultra (76-core GPU) run? →