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llm-speed
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wrapped·Apr 26, 2026
/r/r_akcbpx5vcqa
your run

Qwen2.5-0.5B-Instruct-4bit

on M3 Pro
286.5
tok/sdecode
M3 Pro (18-core GPU) + 36GB unified
rank in tier
1/11M3 Pro runstop 9%
best workload
chat-short
where the rig flew
slowest workload
—
single-workload run
backend
mlxMLX is the fastest backend on Apple Silicon for dense models.
faster than
  • Qwen2.5-Coder-7B-Instruct on RTX 5090255.3 tok/s
  • Qwen2.5-7B-Instruct on RTX 5090246.7 tok/s
  • gpt-oss-20b on RTX 4090242.6 tok/s
share
286.5 tok/s on M3 Pro running Qwen2.5-0.5B-Instruct-4bit — top 9% of M3 Pro runs. Signed benchmark via llm-speed.
https://llm-speed.com/wrapped/r_akcbpx5vcqa
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This is a shareable view of one signed llm-speed suite-suite-v1 run. Numbers are not edited. The raw record has every workload, the public key, and the fingerprint hash.