Samsung's Exynos 2600 doubles on-device AI performance in MLPerf benchmarks

Samsung’s Exynos 2600 doubling on-device AI performance stems less from its 2nm node and more from a ground-up NPU redesign—triggering a paradigm shift in mobile SoC architecture toward task-specific accelerators. This forces Qualcomm and MediaTek to fast-track sparse-compute units and dedicated AI caches. U.S. EDA export controls have already pushed Samsung to localize verification workflows, raising R&D costs by over 15% but fortifying its Korean supply chain resilience. In response, Qualcomm will likely lock in top-tier Android OEMs early with Snapdragon 8 Gen 4 co-optimization deals to defend its ecosystem moat. Over the next 18 months, on-device AI throughput will become the primary premium pricing lever for flagships, while smaller players lacking NPU investment capacity face accelerated marginalization in the high-end segment.