Datasets:

cn0303
/

local-llm-speed-benchmarks

license: other
license_name: source-dependent
license_link: https://www.localscore.ai/about
tags:
  - benchmark
  - llm-inference
  - tokens-per-second
  - consumer-hardware

Local LLM speed benchmarks (community union)

Real measured local-LLM inference performance on consumer hardware: (accelerator, model, quant, context) -> prompt tok/s, decode tok/s, TTFT. Collected to train FitCheck's honest speed predictor (methodology: LLM-Pilot, leave-one-accelerator-out validation).

Sources & attribution

LocalScore (https://www.localscore.ai) — Mozilla Builders project by cjpais. The bulk of this dataset. Scraped politely from public pages; the upstream data license is unstated — if you are the maintainer and want this mirror changed or removed, open a discussion and it will be honoured fast.
llama.cpp community benchmarks — GitHub discussions #4167 (Apple Silicon), #15013 (CUDA), #10879 (Vulkan/AMD/Intel), llama-bench tables.
Hardware bandwidth specs joined from vendor product pages via the MIT spec tables of https://github.com/midudev/canirun.ai.

Files

localscore_runs.jsonl — run-level: hardware + model + averaged metrics.
localscore_tests.jsonl — per-scenario rows (n_prompt 16-4096, n_gen 16-3072) for context-dependence.
llamacpp_bench.jsonl — fixed-workload community tables (validation set).
gpu_specs.json — device -> memory bandwidth / VRAM (vendor specs).