On-device

  1. iPhone 18 Pro: A20 Pro adds a dual 16-core Neural Engine

    Apple says the A20 Pro carries 32 Neural Engine cores in total, double the AI processing power of A19 Pro, with 50 percent more memory bandwidth.

  2. Desert Ant Labs releases 18 on-device models for speech, audio and privacy tasks

    Desert Ant Labs released 18 single-task models that run locally on phones and laptops and are free up to 100k monthly active devices.

  3. OpenBMB releases MiniCPM5-2B for local deployment

    A 2.5-billion-parameter dense model with a 131,072-token context, released under Apache-2.0 with GGUF, MLX and LiteRT-LM builds.

  4. PalmClaw is an open-source agent framework that runs natively on Android phones

    PalmClaw runs sessions, memory, tools and the agent loop on the phone and reports 97.1% task success on 70 mobile tasks.

  5. Google lists first Gemini Nano 4 phones, requires Nano 3 for Gemini Intelligence

    ML Kit GenAI documentation now names nano-v4 devices and sets Nano v3 or greater, plus 12 GB of RAM, as the requirement for Gemini Intelligence.

  6. Artificial Analysis benchmarks 33 local models on an iPhone 17 Pro

    A benchmark of quantised small models on an iPhone 17 Pro reports intelligence scores, generation times and peak memory between 0.4 and 6.9 GB.

  7. Graphcore runs Llama 3.2 11B Vision on a Pixel 8a with 2.7-bit quantisation

    Graphcore Research fits Llama-3.2-11B-Vision-Instruct into 3.6 GB with a 2.7-bit format and runs it on a Pixel 8a at 3.8 tok/s.

  8. Ornith releases Ornith-1.5, a 9B model with a mobile build for iPhone and Android

    Ornith-1.5 comes in 9B, 35B and 397B sizes, and the 9B model scores 70.6 on SWE-bench Verified and has a mobile build for iPhone and Android.

  9. Online-SDFT reports 70.28% routing accuracy and updates a LoRA adapter on the phone

    I-Ju Lin and Zhang-Wei Hong measure 70.28% accuracy against 52.78% for the best baseline, and run the LoRA update itself on an Android phone.

  10. Pixel Watch 5 adds offline Gemini commands and faster on-device smart replies

    Offline voice commands on the Pixel Watch 5 run on an on-device model, and a Gemini Nano upgrade makes smart replies 50 percent faster.

  11. Pixel 11 series: Tensor G6 adds 50 percent more TPU compute

    Google says Tensor G6 with the latest Gemini Nano model processes on-device AI tasks up to 3.5 times faster while using up to 3.5 times less energy.

  12. RikkaHub Agent test: Android phone agent compiles whisper.cpp on its own

    XDA runs RikkaHub Agent on an Oppo Find N5 against a self-hosted Qwen 3.6 27B. The agent installed dependencies and built whisper.cpp in Termux in seven minutes.