NPU

31 updates on NPU.

  1. Qualcomm positions Snapdragon X2 as an agentic PC chip and previews Linux support

    Qualcomm says its Snapdragon X2 platform now delivers up to 85 TOPS and up to twice the tokens per second of the first-generation X Elite for on-device AI agents.

  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. ASUS announces Ascent QN10, a mini PC with Snapdragon X2 Elite and an 80 TOPS NPU

    The Ascent QN10 is a mini PC under 0.7 liters with an 18-core Snapdragon X2 Elite and a Hexagon NPU rated at up to 80 TOPS for local LLM inferencing.

  6. 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.

  7. Qualcomm teases next-gen Hexagon NPU ahead of Snapdragon Summit 2026

    Qualcomm has teased its next-generation Hexagon NPU — featuring a transformer-focused Element Accelerator and 50% more shared memory — built for on-device agentic AI ahead of the …

  8. 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.

  9. 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.

  10. NPUs lead LLM prefill, CPUs lead decoding on Snapdragon phones

    A measurement study of five mobile LLM frameworks finds NPUs excel at prefill, CPUs at decoding, and framework gaps of up to 10x on NPUs.

  11. MLPerf Mobile v6.0 adds Llama tests in 1B, 3B and 8B sizes

    MLCommons added Llama tests in 1B, 3B and 8B sizes to its mobile benchmark app, reporting token throughput next to the existing vision and image tests.

  12. llada.cpp runs a diffusion LLM on a Snapdragon NPU up to 42 times faster

    Tsinghua and Beihang researchers report LLaDA-8B generating 128 tokens 17 to 42 times faster on a Hexagon NPU than on the phone CPU.