llamaperf

M5 Max 48GB vs AMD Strix Halo 128GB for local LLMs

67 reports on the M5 Max 48GB and 320 on the AMD Strix Halo 128GB

Which is faster for local LLMs?

On Qwen3.6 35B · 3B active at 4-bit, the M5 Max 48GB has 137.7 generation tokens/s (2 runs); prompt processing 3338.1 tokens/s (2 runs); the AMD Strix Halo 128GB has 60.0 generation tokens/s (7 runs); prompt processing 1005.3 tokens/s (7 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 2.4x higher on the M5 Max 48GB (614 GB/s on the M5 Max 48GB, 256 on the AMD Strix Halo 128GB). Across 9 shared models with generation measurements on both cards, the M5 Max 48GB's median is higher on 9 and the AMD Strix Halo 128GB's on 0.

M5 Max 48GB
Memory
48GB unified
Memory bandwidth
614 GB/s
FP16 compute
not on record
Reports
67
AMD Strix Halo 128GB
Memory
128GB unified
Memory bandwidth
256 GB/s
FP16 compute
59 TFLOPS
Reports
320

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

ModelM5 Max 48GBAMD Strix Halo 128GB
Qwen3.6 35B · 3B active4-bit137.72 runsPP 3338.1 (2 runs)llama.cpp, MLXcontext not stated60.07 runsPP 1005.3 (7 runs)llama.cpp, 3 not stated30K context, 6 not stated
Qwen3 30B · 3B active4-bit148.5one runPP 3496.9 (one run)llama.cppcontext not stated73.73 runsPP 920.0 (3 runs)llama.cpp48K context, 2 not stated
Gemma 4 31B4-bit25.2one runPP 626.5 (one run)llama.cppcontext not stated11.52 runsPP 559.3 (2 runs)Gufocontext not stated
Gemma 4 26B · 4B active4-bit116.9one runPP 3423.2 (one run)llama.cppcontext not stated67.32 runsPP 4061.0 (2 runs)Gufocontext not stated
Llama 3.2 3B4-bit199.9one runPP 6122.5 (one run)llama.cppcontext not stated89.12 runsPP 1915.0 (2 runs)llama.cpp, 1 not statedcontext not stated
Qwen3.5 35B · 3B active4-bit111.2one runPP 3378.3 (one run)llama.cppcontext not stated52.42 runsPP 1017.0 (one run)llama.cpp, 1 not stated128K context, 1 not stated
Gemma 3 27B4-bit29.9one runPP 751.0 (one run)llama.cppcontext not stated13.0one runPP 382.5 (one run)llama.cppcontext not stated
Qwen3.5 9B4-bit86.5one runPP 2369.3 (one run)llama.cppcontext not stated31.1one runPP 819.2 (one run)engine not statedcontext not stated
Qwen3.5 27B4-bit29.2one runPP 730.5 (one run)llama.cppcontext not stated12.1one runPP 310.0 (one run)engine not statedcontext 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.

ModelM5 Max 48GBAMD Strix Halo 128GB
Qwen3.6 35B · 3B active88.4 t/sQ5_K_M12.6 t/sFP16
Qwen3 30B · 3B active104.1 t/sQ5_K_S12.6 t/sFP16
Gemma 4 31B19.4 t/sQ6_K3.1 t/sFP16
Gemma 4 26B · 4B active43.2 t/sQ8_09.5 t/sFP16
Llama 3.2 3B81.4 t/sFP1631.6 t/sFP16
Qwen3.5 35B · 3B active88.4 t/sQ5_K_M12.6 t/sFP16
Gemma 3 27B22.3 t/sQ6_K3.5 t/sFP16
Qwen3.5 9B27.1 t/sFP1610.5 t/sFP16
Qwen3.5 27B22.3 t/sQ6_K3.5 t/sFP16
Qwen3.8 27B22.3 t/sQ6_K3.5 t/sFP16
Qwen3.8 125B · 6B activedoesn't fit at these settings12.6 t/sQ6_K
DeepSeek V4 Flash 284B · 13B activedoesn't fit at these settings33.5 t/sQ2_K
Qwen3.6 27B22.3 t/sQ6_K3.5 t/sFP16
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 settings11.1 t/sQ2_K

Change the context, RAM or model in the calculator: M5 Max 48GB · AMD Strix Halo 128GB

Every report on each card, with its source: M5 Max 48GB · AMD Strix Halo 128GB

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