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llm-speed publishes measured local LLM benchmarks

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llm-speed publishes measured local LLM benchmarks
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// 1h agoBENCHMARK RESULT

llm-speed publishes measured local LLM benchmarks

llm-speed is an open-source leaderboard for measured local LLM inference speed across models, hardware, and runtimes. Its signed runs report decode throughput, prefill speed, time to first token, and reproducible configuration details.

// ANALYSIS

The valuable contribution is turning scattered “my GPU gets X tok/s” claims into auditable, comparable measurements.

  • –Fixed workloads and pinned model digests make cross-machine comparisons more meaningful
  • –Reporting decode, prefill, and TTFT avoids reducing real inference performance to one misleading number
  • –Ed25519-signed submissions improve provenance, though they do not independently verify hardware or output quality
  • –The open CLI and CC BY dataset make the project useful for hardware buying guides, local deployment planning, and reproducible research
// TAGS
llm-speedllmbenchmarkinferenceopen-sourceclilocal-first

DISCOVERED

1h ago

2026-10-19

PUBLISHED

1h ago

2026-10-19

RELEVANCE

7/ 10

AUTHOR

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