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Apple M2 Ultra (76-core GPU) vs Apple M3 Ultra (80-core GPU) for local LLMs

Across 5 tests measured on both, the two are about even (median ratio 1.02×).

On Llama 2 7B (F16, llama-bench) the Apple M2 Ultra (76-core GPU) generates 41.0 tokens/s and the Apple M3 Ultra (80-core GPU) 39.8 tokens/s (measured).

Same model, same quant, same test

ModelQuant / testM2 Ultra (76-core GPU)
tok/s
M3 Ultra (80-core GPU)
tok/s
FasterSources and run details
Llama 2 7BF16
llama-bench
41.0
Metal
39.8
Metal
M2 Ultra (76-core GPU) +3%llama.cpp #4167 M2 Ultra (76-core GPU) · llama.cpp #4167 M3 Ultra (80-core GPU)
Llama 2 7BQ4_0
llama-bench
94.3
Metal
92.1
Metal
evenllama.cpp #4167 M2 Ultra (76-core GPU) · llama.cpp #4167 M3 Ultra (80-core GPU)
Llama 2 7BQ8_0
llama-bench
66.6
Metal
63.9
Metal
M2 Ultra (76-core GPU) +4%llama.cpp #4167 M2 Ultra (76-core GPU) · llama.cpp #4167 M3 Ultra (80-core GPU)
gpt-oss 20BMXFP4
llama-bench
116
Metal
116
Metal
evenllama.cpp #15396 M2 Ultra (76-core GPU) · llama.cpp #15396 M3 Ultra (80-core GPU)
Qwen2.5 14B InstructQ4_K_M
LocalScore
36.6
llamafile
36.3
llamafile
evenLocalScore M2 Ultra (76-core GPU) · LocalScore M3 Ultra (80-core GPU)

Generation speed in tokens/s, best measured backend for each chip (shown under the number). Backends can differ between the two chips; check them before drawing conclusions. Measured results only, nothing estimated.

Specs

Apple M2 Ultra (76-core GPU)Apple M3 Ultra (80-core GPU)
MemoryUnified memoryUnified memory
Memory bandwidth800 GB/s819 GB/s

All results for the Apple M2 Ultra (76-core GPU) · All results for the Apple M3 Ultra (80-core GPU) · More comparisons