llamaperf

M1 Max 64GB vs NVIDIA RTX 5080 for local LLMs

45 reports on the M1 Max 64GB and 31 on the NVIDIA RTX 5080

Which is faster for local LLMs?

Nobody has reported the same model at the same quant on both cards yet, so there's no measured head-to-head. Memory bandwidth, which caps how fast a card can write, is 2.3x higher on the NVIDIA RTX 5080 (410 GB/s on the M1 Max 64GB, 960 on the NVIDIA RTX 5080). The estimates below compare them on the models people run most.

M1 Max 64GB
Memory
64GB unified
Memory bandwidth
410 GB/s
FP16 compute
10.4 TFLOPS
Reports
45
NVIDIA RTX 5080
Memory
16GB
Memory bandwidth
960 GB/s
FP16 compute
225 TFLOPS
Reports
31

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.

ModelM1 Max 64GBNVIDIA RTX 5080
Qwen3.8 27B10.0 t/sQ8_062.6 t/sQ2_K
Qwen3.8 125B · 6B active45.7 t/sQ2_Kdoesn't fit at these settings
Qwen3.6 35B · 3B active31.6 t/sQ8_0207.0 t/sQ2_K
DeepSeek V4 Flash 284B · 13B activedoesn't fit at these settingsdoesn't fit at these settings
Qwen3.6 27B10.0 t/sQ8_062.6 t/sQ2_K
Gemma 4 26B · 4B active27.1 t/sQ8_0139.6 t/sQ3_K_S

Change the context, RAM or model in the calculator: M1 Max 64GB · NVIDIA RTX 5080

Every report on each card, with its source: M1 Max 64GB · NVIDIA RTX 5080

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