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gen-cards: regenerate Use-it block
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JevBench public 231: iPhone 17 Pro rows (2026-09-24)
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gen-cards: regenerate Use-it block
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JevBench public 231 accuracy and latency (Mac, 2026-09-24)
Same subsection as coreai-model-zoo a708c2e (models/minicpm5-2b/README.md).
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card: system-one / typed-decisions tags
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card: Neural Engine bundle section — 6-bit, why, speed, first-load cost, GSM8K 200
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ios-static: the 6-bit k-means g8 static iOS export before AOT (replaces the 4-bit g32 IR of 2026-09-15)
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ios-ane-h18p: drop the 4-bit g32 aimodelc (replaced by the 6-bit export; metadata.json points at the 6-bit one)
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ios-ane-h18p: 6-bit k-means g8 static iOS export, AOT h18p neural-engine (replaces the 4-bit g32 export of 2026-09-15; device gate 3/4 exact, long answer diverges on a 0.17-margin step)
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card: same-day ANE vs GPU A/B on iPhone 17 Pro
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card: Neural Engine bundle section
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ios-static: stock static iOS export, AOT h18p neural-engine (device gate PASS 3/3)
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ios-ane-h18p: stock static iOS export, AOT h18p neural-engine (device gate PASS 3/3)
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Card: macOS/iOS 27 GA wording (beta requirement dropped; beta findings dated)
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MiniCPM5-2B — Core AI int8 bundle (dynamic, pipelined engine)
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MiniCPM5-2B — Core AI int8 bundle (dynamic, pipelined engine)
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MiniCPM5-2B — Core AI int8 bundle (dynamic, pipelined engine)
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initial commit
