Android

60 updates on Android.

  1. FunctionGemma 270M fine-tune reaches 76.5% on 15 mobile actions, with an Android demo

    Fine-tuning FunctionGemma 270M on 9,500 synthetic mobile-action conversations raises end-to-end accuracy from 29.3% to 76.5%, with a Pixel 8 Pro demo app.

  2. MediaTek launches Dimensity CX C10 Max, a 55 TOPS chip for Googlebook

    MediaTek’s Dimensity CX C10 Max is a 3nm chip with a 55 TOPS NPU built for Google’s new Googlebook laptop category.

  3. Qualcomm launches Snapdragon 8 Elite Extreme Gen 6 for 30B-parameter AI

    Qualcomm’s Snapdragon 8 Elite Extreme Gen 6 gives its Hexagon NPU 50% more shared memory to run 30B-parameter MoE models on a phone.

  4. Qualcomm's Snapdragon X Elite powers the first Googlebook laptops from Dell and HP

    The Dell XPS Googlebook 13 and HP Googlebook 14 use the Snapdragon X Elite and its 45 TOPS NPU to run Gemini Intelligence features, with pre-orders open.

  5. OPPO unveils ColorOS 17 with an on-device linear-attention model and 128K context

    OPPO says the on-device model in ColorOS 17 uses linear attention, supports 128K context and needs 48% less memory and 55% less energy than its predecessor.

  6. Arm unveils Mali G2-Ultra NX GPU with neural accelerators in every shader core

    Arm says the Mali G2-Ultra NX runs neural upscaling and frame generation on accelerators inside its shader cores, with up to 24% higher benchmark performance.

  7. Arm unveils CSS for Mobile 2 with C2 CPU cluster, up to 1.7x faster on AI models

    Arm says its C2-Ultra CPU with two SME2 units delivers up to 1.7x performance across the latest AI models and finishes an agentic workflow 24% faster.

  8. Arm recaps Arm Create China and shows Qwen3-TTS 0.6B running on a vivo X300 CPU

    Arm's Create recap shows Qwen3-TTS 0.6B on a vivo X300 CPU with SME2 at a 1.2x real-time factor and 4.7 GB peak memory.

  9. MediaTek launches Dimensity 9600 Pro, a 2nm chip for on-device models up to 30B parameters

    MediaTek says the NPU 1090 in the 2nm Dimensity 9600 Pro raises LLM prefill by 51% and supports on-device models with up to 30B parameters.

  10. llama.cpp Hexagon NPU backend tested on a Snapdragon 8 Gen 3 phone

    A user report puts Gemma 3 4B at 12.5 tokens per second of generation on a OnePlus 12 using llama.cpp’s Hexagon NPU backend, at about CPU speed but without the heat.

  11. Google releases ADK for Kotlin 1.0 with on-device agents for Android

    ADK for Kotlin 1.0 adds Android modules that run agents on the device with Gemma through LiteRT-LM and Gemini Nano through ML Kit.

  12. 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.