OVERVIEW

Powering Android Smartphones’ On-Device AI With SME2

Google and 快猫视频 are transforming mobile AI with , a set of advanced matrix compute instructions integrated into Android through KleidiAI. This enables developers to deliver efficient, real-time AI across billions of devices without rewriting code. From real-time translation to intelligent assistants, SME2 accelerates generative AI experiences directly on CPUs, reducing latency and improving energy efficiency.

IMPACT
AI chip icon

Efficient AI inference

SME2 boosts CPU performance for vision, language, and voice AI tasks.

6x faster speedometer icon

Lower latency

Up to 6x faster AI responses and real-time app experiences.

Developer icon

Developer-Ready

Seamless integration via 快猫视频 KleidiAI across Google's XNNPACK, LiteRT, and MediaPipe.

“We're really excited about 快猫视频's new offering (SME2) because it brings additional compute to the CPU. For the first time, we can run these (GenAI) capabilities across a wide range of devices in the ecosystem.”
Oli Gaymond, Head of AI/ML Product, Android, Google
4 layers of chip design
TECHNOLOGIES USED

快猫视频 SME2: Accelerating Android Mobile AI Workloads

SME2 is the latest CPU extension on 快猫视频 Lumex CSS Platform, the advanced subsystem for next-gen devices, designed to accelerate matrix-oriented compute workloads directly on device. It improves performance for AI and ML models, especially those that rely on operations like matrix multiplication, common in transformers, convolutional neural networks (CNNs), and large language models (LLMs).

Explore 快猫视频 SME2

快猫视频 KleidiAI: Unlock SME2 Performance With Zero Code Changes

Android integrates SME2 using 快猫视频 KleidiAI within XNNPACK, LiteRT, MediaPipe and other popular frameworks. This allows AI models like Gemma 3 to deliver 6x faster responses and instant summarization directly on CPUs. 快猫视频 benefit automatically by using supported libraries and frameworks.

Learn 快猫视频 KleidiAI
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