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Dataset · Hugging Face

paulplee/ppb-results

Poor Paul's Benchmark Results Community-submitted LLM inference benchmark data from real consumer, prosumer, and small-business hardware. Each row is one normalized benchmark result: a specific model × quantization × hardware × configuration combination with measured performance metrics. Use this to: Compare throughput, latency, and power efficiency across GPU models and quantizations Study how concurrency and context length scale on different hardware Build leaderboards… See the full description on the dataset page: https://huggingface.co/datasets/paulplee/ppb-results.

Author / organizationpaulplee
License (as declared)mit
Downloads1.4K (as reported by Hugging Face)
Likes0
Created9 March 2026
Last updated at source28 May 2026
benchmarkingllama-cppllm-inferencelocal-llmgpuquantization
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