蘋果推送iOS27，爲近年較大規模升級。延續Liquid Glass設計，強化Siri AI，調整照片、信息等應用，新增AI與家長控制並優化性能。Siri重構可讀屏、操作應用。支持iPhone 11系列及更新、SE2。部分AI功能硬件門檻高：新Siri需15 Pro及以上，部分需17 Pro或更高。
Artificial Analysis聯合Liquid AI發佈手機端本地AI性能基準，聚焦iPhone 17 Pro真實表現。前者測智能水平，後者測推理性能，涵蓋函數調用、指令遵循、知識認知、高難問答與數學五類。測試對象爲4bit量化、體積不超8GB的端側模型，旨在驗證小模型也能實現高智能。
Swiftlet 項目利用 Swift + Metal，讓 Qwen3-Next 等 MoE 模型在 Mac 上極致瘦身運行：僅常駐小型稠密核心，專家權重存於 SSD 按需流式加載。在 M5 Mac 上，Qwen3.6-35B-A3B 的 4-bit 版僅佔 18GB 磁盤，峯值內存 2.6GB，解碼速度達 7–11 tok/s。
蘋果iPhone 17 Pro成功運行4000億參數大模型，突破硬件限制。其僅配備12GB內存，遠低於模型通常所需的200GB。關鍵技術在於運用閃存流轉與混合專家模型，解決了內存容量嚴重不足的難題。
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