llamaperf

M4 Pro 64GB vs M6 32GB for local LLMs

33 reports on the M4 Pro 64GB and 22 on the M6 32GB

Which is faster for local LLMs?

On Gemma 4 26B · 4B active at 4-bit, the M4 Pro 64GB has 57.3 generation tokens/s (2 runs); prompt processing 774.8 tokens/s (2 runs); the M6 32GB has 52.2 generation tokens/s (one run). Those are community reports whose engines and settings differ, so the gap is a rough sign, not a controlled measure of the two cards. Memory bandwidth, which caps how fast a card can write, is 1.6x higher on the M4 Pro 64GB (273 GB/s on the M4 Pro 64GB, 171 on the M6 32GB). Across 2 shared models with generation measurements on both cards, the M4 Pro 64GB's median is higher on 1 and the M6 32GB's on 1.

M4 Pro 64GB
Memory
64GB unified
Memory bandwidth
273 GB/s
FP16 compute
9.2 TFLOPS
Reports
33
M6 32GB
Memory
32GB unified
Memory bandwidth
171 GB/s
FP16 compute
not on record
Reports
22

Measured on both

Generation and prompt processing speeds from plain runs (one device, one request, no speculative decoding, the whole model in the device's memory) of the same model size at the same bit class. Each side shows the engines and reported context behind its median. Context can mean a configured window or prompt depth, so these are community comparisons with differing settings. How to read these

ModelM4 Pro 64GBM6 32GB
Gemma 4 26B · 4B active4-bit57.32 runsPP 774.8 (2 runs)llama.cpp, 1 not statedcontext not stated52.2one runengine not statedcontext not stated
Qwen3.6 35B · 3B active4-bit57.52 runsPP 767.1 (2 runs)llama.cpp, 1 not statedcontext not stated63.8one runLM Studio32K context

Estimated by the calculator

The quant the calculator recommends for each card and its estimated speed at a 32,768-token context with 32 GB of system RAM, from memory bandwidth and the model's shape. Where a model was also measured above, the measurement wins.

ModelM4 Pro 64GBM6 32GB
Gemma 4 26B · 4B active20.7 t/sQ8_023.2 t/sQ4_K_M
Qwen3.6 35B · 3B active24.1 t/sQ8_038.2 t/sQ3_K_M
Qwen3.8 27B7.7 t/sQ8_010.5 t/sQ4_K_S
Qwen3.8 125B · 6B active34.9 t/sQ2_Kdoesn't fit at these settings
DeepSeek V4 Flash 284B · 13B activedoesn't fit at these settingsdoesn't fit at these settings
Qwen3.6 27B7.7 t/sQ8_010.5 t/sQ4_K_S
DeepSeek V4.1 Flash 552B · 16B activedoesn't fit at these settingsdoesn't fit at these settings
GLM-5.3 320B · 18B activedoesn't fit at these settingsdoesn't fit at these settings

Change the context, RAM or model in the calculator: M4 Pro 64GB · M6 32GB

Every report on each card, with its source: M4 Pro 64GB · M6 32GB

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