ArmUnlocked速递（2）：端侧AI与光追革新，Lumex平台重塑消费电子算力底座

Investment Rating - The report does not explicitly state an investment rating for the industry or specific companies involved Core Insights - The Arm Lumex platform integrates CPU, GPU, and System IP for enhanced performance and energy efficiency, achieving double-digit IPC improvements for six consecutive years and boosting on-device AI inference performance by up to 5x and energy efficiency by 3x through SME2 technology [1][2][3] - The Mali G1-Ultra GPU features a new hardware ray tracing architecture, claiming a 2x increase in ray tracing performance and a 20% improvement in gaming and AI performance, which redefines the efficiency of art budgets and power consumption in mobile devices [3][15] - SME2 technology enhances on-device AI capabilities, allowing for significant performance improvements in various applications while maintaining the CPU as a versatile execution vehicle for AI tasks [4][16] - Arm emphasizes the importance of ecosystem standardization and collaboration with OEMs to promote scalable AI PC/tablet solutions, addressing challenges such as memory and bandwidth constraints [6][19] Summary by Sections Event Overview - On September 10, 2025, Arm's Unlocked event focused on the development of on-device AI and introduced the Lumex platform, which features a C1 CPU cluster and Mali G1 series GPU, achieving significant performance and efficiency improvements [1][13] Platform Engineering - The Lumex platform represents a shift from traditional CPU/GPU configurations to a co-optimized system, with various CPU tiers designed for different performance needs, corroborated by real-world performance metrics [2][14] GPU Advancements - The Mali G1-Ultra GPU's new architecture allows for high-quality rendering and user-generated content creation, with a focus on stable power control and predictable image quality improvements [3][15] AI Development - SME2 technology supports a full-stack software ecosystem, enhancing development efficiency and enabling various AI applications to run effectively on CPUs, while allowing for GPU offloading in high-load scenarios [4][16][18] Ecosystem and Standardization - Arm identifies key development directions in the AI PC/tablet domain, focusing on system standardization, collaboration with domestic solution providers, and leveraging software compatibility to enhance performance and reduce costs [6][19]