llamaperf

M2 Max 64GB vs M4 16GB for local LLMs

20 reports on the M2 Max 64GB and 26 on the M4 16GB

Which is faster for local LLMs?

On Gemma 4 26B · 4B active at 4-bit, the M2 Max 64GB has 61.6 generation tokens/s (one run); prompt processing 465.2 tokens/s (one run); the M4 16GB has 30.9 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 3.4x higher on the M2 Max 64GB (410 GB/s on the M2 Max 64GB, 120 on the M4 16GB). Across 2 shared models with generation measurements on both cards, the M2 Max 64GB's median is higher on 2 and the M4 16GB's on 0.

M2 Max 64GB
Memory
64GB unified
Memory bandwidth
410 GB/s
FP16 compute
13.6 TFLOPS
Reports
20
M4 16GB
Memory
16GB unified
Memory bandwidth
120 GB/s
FP16 compute
4.3 TFLOPS
Reports
26

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

ModelM2 Max 64GBM4 16GB
Gemma 4 26B · 4B active4-bit61.6one runPP 465.2 (one run)MLXcontext not stated30.9one runllama.cpp64K context
Qwen3.5 4B4-bit70.4one runTransformerscontext not stated28.3one runPP 352.4 (one run)llama.cppcontext not stated

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.

ModelM2 Max 64GBM4 16GB
Gemma 4 26B · 4B active28.2 t/sQ8_0doesn't fit at these settings
Qwen3.5 4B35.2 t/sFP1622.8 t/sQ8_0
Qwen3.8 27B10.4 t/sQ8_0doesn't fit at these settings
Qwen3.8 125B · 6B active47.5 t/sQ2_Kdoesn't fit at these settings
Qwen3.6 35B · 3B active32.9 t/sQ8_0doesn't fit at these settings
DeepSeek V4 Flash 284B · 13B activedoesn't fit at these settingsdoesn't fit at these settings
Qwen3.6 27B10.4 t/sQ8_0doesn't fit at these settings
DeepSeek V4.1 Flash 552B · 16B activedoesn't fit at these settingsdoesn't fit at these settings

Change the context, RAM or model in the calculator: M2 Max 64GB · M4 16GB

Every report on each card, with its source: M2 Max 64GB · M4 16GB

More comparisons