llamaperf

M4 Max 64GB vs M5 Max 48GB for local LLMs

18 reports on the M4 Max 64GB and 67 on the M5 Max 48GB

Which is faster for local LLMs?

On Qwen3.6 35B · 3B active at 4-bit, the M4 Max 64GB has 76.4 generation tokens/s (one run); prompt processing 319.9 tokens/s (one run); the M5 Max 48GB has 137.7 generation tokens/s (2 runs); prompt processing 3338.1 tokens/s (2 runs). 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 13% higher on the M5 Max 48GB (546 GB/s on the M4 Max 64GB, 614 on the M5 Max 48GB). Across 4 shared models with generation measurements on both cards, the M4 Max 64GB's median is higher on 0 and the M5 Max 48GB's on 4.

M4 Max 64GB
Memory
64GB unified
Memory bandwidth
546 GB/s
FP16 compute
18.4 TFLOPS
Reports
18
M5 Max 48GB
Memory
48GB unified
Memory bandwidth
614 GB/s
FP16 compute
not on record
Reports
67

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 Max 64GBM5 Max 48GB
Qwen3.6 35B · 3B active4-bit76.4one runPP 319.9 (one run)llama.cppcontext not stated137.72 runsPP 3338.1 (2 runs)llama.cpp, MLXcontext not stated
Gemma 4 31B4-bit22.4one runPP 62.7 (one run)llama.cppcontext not stated25.2one runPP 626.5 (one run)llama.cppcontext not stated
Gemma 4 26B · 4B active4-bit81.7one runPP 379.6 (one run)llama.cppcontext not stated116.9one runPP 3423.2 (one run)llama.cppcontext not stated
Qwen3.5 9B4-bit65.5one runPP 305.9 (one run)llama.cppcontext not stated86.5one runPP 2369.3 (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.

ModelM4 Max 64GBM5 Max 48GB
Qwen3.6 35B · 3B active42.5 t/sQ8_088.4 t/sQ5_K_M
Gemma 4 31B11.8 t/sQ8_019.4 t/sQ6_K
Gemma 4 26B · 4B active36.4 t/sQ8_043.2 t/sQ8_0
Qwen3.5 9B20.2 t/sFP1627.1 t/sFP16
Qwen3.8 27B13.5 t/sQ8_022.3 t/sQ6_K
Qwen3.8 125B · 6B active61.4 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 27B13.5 t/sQ8_022.3 t/sQ6_K
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 Max 64GB · M5 Max 48GB

Every report on each card, with its source: M4 Max 64GB · M5 Max 48GB

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