llamaperf

M2 Pro 32GB vs NVIDIA RTX 3080 20GB for local LLMs

1 report on the M2 Pro 32GB and 9 on the NVIDIA RTX 3080 20GB

Which is faster for local LLMs?

On Qwen3.8 27B at 4-bit, the M2 Pro 32GB runs at 8.6 tokens per second (one run) and the NVIDIA RTX 3080 20GB at 20.0 (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 3.7x higher on the NVIDIA RTX 3080 20GB (205 GB/s on the M2 Pro 32GB, 760 on the NVIDIA RTX 3080 20GB).

M2 Pro 32GB
Memory
32GB unified
Memory bandwidth
205 GB/s
FP16 compute
6.8 TFLOPS
Reports
1
NVIDIA RTX 3080 20GB
Memory
20GB
Memory bandwidth
760 GB/s
FP16 compute
119 TFLOPS
Reports
9

Measured on both

Median tokens per second 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 quant level. Engines and context lengths can still differ between the runs. How to read these

ModelM2 Pro 32GBNVIDIA RTX 3080 20GB
Qwen3.8 27B4-bit8.6one run20.0one run

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 Pro 32GBNVIDIA RTX 3080 20GB
Qwen3.8 27B11.5 t/sQ4_K_S35.4 t/sQ3_K_M
Qwen3.8 125B · 6B activedoesn't fit at these settings19.1 t/sQ2_K, experts in RAM
DeepSeek V4 Flash 284B · 13B activedoesn't fit at these settingsdoesn't fit at these settings
Qwen3.6 35B · 3B active41.9 t/sQ3_K_M140.5 t/sQ3_K_S
Qwen3.6 27B11.5 t/sQ4_K_S35.4 t/sQ3_K_M
Gemma 4 26B · 4B active25.4 t/sQ4_K_M79.7 t/sQ4_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: M2 Pro 32GB · NVIDIA RTX 3080 20GB

Every report on each card, with its source: M2 Pro 32GB · NVIDIA RTX 3080 20GB

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