็™ป้Œฒใ—ใฆๆ‹›ๅพ…ใƒชใƒณใ‚ฏใ‚’ๅ…ฑๆœ‰ใ™ใ‚‹ใจใ€ๅ‹•็”ปๅ†็”Ÿๅ ฑ้…ฌใจ็ดนไป‹ๅ ฑ้…ฌใ‚’็ฒๅพ—ใงใใพใ™ใ€‚

David Hendrickson
@TeksEdge
CEO & Founder | PhD | Startup Advisor | @Columbia | Author Generative Software Engineering | ๐Ÿ”” Follow for AI & Vibe Coding Tips ๐Ÿ‘‡
ๅ‚ๅŠ  July 2023
549 ใƒ•ใ‚ฉใƒญใƒผไธญ    10.6K ใƒ•ใ‚กใƒณ
๐Ÿ”ฅ How fast does my MacBook Pro M5 Max run Qwen3.8-27B? ๐Ÿ†• There's a new benchmarking tool and leaderboard for that. ๐ŸŽฏ Liquid AI + Artificial Analysis released Pipette, an open-source benchmark built for AI running on local hardware. ๐Ÿ‘‡ Pipette benchmarks the inference stack, including ... ๐Ÿง  Model ๐Ÿ—œ๏ธ Quantization โš™๏ธ Runtime ๐Ÿ’ป Device ๐Ÿ“š Context length So instead of wondering how fast Qwen3.8 is, now you can find out how fast Qwen Q4 is in llama.cpp on my MacBook Pro M5 Max (or other local AI machines). According to AA and Liquid, the dataset currently has ... ๐Ÿ“Š 10,000+ benchmark results ๐Ÿงช 1,000+ tested configurations โœ… model ร— quantization ร— runtime ร— device ร— context ๐Ÿค– ~35 model classes ๐Ÿ—œ๏ธ 7 quantization levels โš™๏ธ llama.cpp ๐Ÿ“ฑ iPhone + Android ๐Ÿ’ป Mac + Windows PCs ๐Ÿง  Strix Halo results coming soon And it measures what matters to Local AI users... โšก Decode tps ๐Ÿš€ Prefill speed โฑ๏ธ Latency ๐Ÿ’พ Peak memory ๐Ÿง  Model quality โš ๏ธ Caveat, current benchmark only covers ... โœ… MacBook Pro โ€” M5 Max โœ… iPhone 17 Pro โœ… Samsung Galaxy S26 Ultra ๐Ÿ”— pipette dot liquid dot ai
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