llamaperf

M5 Max 48GB vs NVIDIA RTX 3090 for local LLMs

67 reports on the M5 Max 48GB and 219 on the NVIDIA RTX 3090

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 NVIDIA RTX 3090 has 101.7 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 1.5x higher on the NVIDIA RTX 3090 (614 GB/s on the M5 Max 48GB, 936 on the NVIDIA RTX 3090). Across 2 shared models with generation measurements on both cards, the M5 Max 48GB's median is higher on 1 and the NVIDIA RTX 3090's on 1.

M5 Max 48GB
Memory
48GB unified
Memory bandwidth
614 GB/s
FP16 compute
not on record
Reports
67
NVIDIA RTX 3090
Memory
24GB
Memory bandwidth
936 GB/s
FP16 compute
142 TFLOPS
Reports
219

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 48GBNVIDIA RTX 3090
Qwen3.6 35B · 3B active4-bit137.72 runsPP 3338.1 (2 runs)llama.cpp, MLXcontext not stated101.7one runllama.cpp64K context
Gemma 4 31B4-bit25.2one runPP 626.5 (one run)llama.cppcontext not stated36.5one runllama.cppcontext not stated
Qwen3.5 35B · 3B active4-bit111.2one runPP 3378.3 (one run)llama.cppcontext not stated-0 runsPP 980.0 (one run)llama.cpp64K 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.

ModelM5 Max 48GBNVIDIA RTX 3090
Qwen3.6 35B · 3B active88.4 t/sQ5_K_M120.1 t/sQ4_K_S
Gemma 4 31B19.4 t/sQ6_K33.2 t/sQ4_K_S
Qwen3.5 35B · 3B active88.4 t/sQ5_K_M120.1 t/sQ4_K_S
Qwen3.8 27B22.3 t/sQ6_K33.9 t/sQ4_K_M
Qwen3.8 125B · 6B activedoesn't fit at these settings19.4 t/sQ2_K, experts in RAM
DeepSeek V4 Flash 284B · 13B activedoesn't fit at these settingsdoesn't fit at these settings
Qwen3.6 27B22.3 t/sQ6_K33.9 t/sQ4_K_M
Gemma 4 26B · 4B active43.2 t/sQ8_076.4 t/sQ5_K_S
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: M5 Max 48GB · NVIDIA RTX 3090

Every report on each card, with its source: M5 Max 48GB · NVIDIA RTX 3090

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