Industry-Leading Performance and Efficiency for Inference at the Edge

An optimized, ground-up design for machine learning that targets mobile and adjacent markets. The solution consists of state-of-the-art optimized fixed-function engines that provide best-in-class performance and energy efficiency. Additional features include programmable layer engines, network control unit and onboard memory.

Features and Benefits
Outstanding Performance

Specially designed to provide up to 4.1 TOPs in mobile environments, while reducing traffic to the external memory and therefore power consumption.

Optimized Design

Completes the Arm ML platform solution, integrating with Arm NN and the Arm Object Detection processor.

Highly Efficient

Provides a massive efficiency uplift compared to CPUs, GPUs, DSPs and accelerators, running at >3 TOPs/W.

Futureproof

Programmable engines support future innovation and algorithms.

Artificial Intelligence

The new class of ultra-efficient machine learning and object detection processors is purpose-built to redefine device capabilities and transform our lives. 

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Need help bringing your machine learning projects to life? Let’s talk about how the Arm ML platform can work for you.

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Related Products and Services
Explore More Options and Features
Object Detection

Arm Object Detection Processor 

Enables sophisticated object detection in a new generation of smart cameras and other vision-based devices.

Arm NN

Arm NN

Free of charge, this software developer kit bridges the gap between existing NN frameworks and the underlying IP.

Compute Library

Compute Library

This software library is a collection of low-level functions optimized for Arm CPU and GPU architectures targeting image processing, computer vision, and machine learning. It is available free of charge under a permissive MIT open source license.

Arm Machine Learning Processor Resources

Project Trillium

Project Trillium is a suite of Arm IP designed to deliver scalable ML and neural network functionality at any point on the performance curve, from sensors, to mobile, and beyond. Gain insights on how ML processing requirements vary significantly according to workload and let Arm experts help you navigate the path. 

Community and Partners

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