Best processors for AI in laptops

Discover the most powerful processors for artificial intelligence in laptops, ideal for professionals and enthusiasts seeking maximum performance. Our guide compares CPUs from Intel, AMD, and Snapdragon, evaluating their AI processing capabilities in TOPS and efficiency for demanding workloads. Find the perfect chip for video editing, 3D rendering, and other AI-intensive applications. Explore options with the best NPU to boost your machine learning tasks on a portable computer.

135100% verified
  1. 1

    Qualcomm Snapdragon X Plus

    121 Global Votes

    The Snapdragon X Plus offers excellent on-device AI performance with remarkable energy efficiency, being a more accessible option than the X Elite. It enables intuitive productivity tools and advanced AI-accelerated camera and audio features.

  2. 2

    AMD Ryzen AI Series 300 Processors (Strix Point)

    14 Global Votes

    These processors are one of AMD's most powerful options for AI laptops, ideal for users who require balanced CPU, GPU, and NPU performance. They offer full support for Windows Copilot+ and high-level local AI capabilities.

  3. 3

    Intel Core Ultra Series 2 (Arrow Lake-HX/H/U)

    0 Global Votes

    The Arrow Lake-HX/H/U series offers a balance between raw power and AI capabilities, making it suitable for demanding tasks and AI applications that benefit from greater CPU and GPU power. They promise significant improvements in performance and efficiency for various laptop segments.

  4. 4

    Qualcomm Snapdragon X2 Elite Processors

    0 Global Votes

    This processor is a premium option for AI laptops, standing out for its industry-leading Hexagon NPU that offers up to 75 TOPS of AI performance. Its energy efficiency promises exceptional battery life, ideal for mobile users.

  5. 5

    AMD Ryzen 8040 Series (Hawk Point)

    0 Global Votes

    Although they are from the previous generation to Strix Point, the Ryzen 8040 Series remain very capable processors for AI tasks in laptops. They offer good performance and efficiency for a wide range of local generative AI applications.