Products for Wearables
Arm is the world's leading technology provider of silicon IP for the intelligent system-on-chips at the heart of billions of devices. Our portfolio of products enable partners to innovate and get-to-market faster on a secure architecture built for performance and power efficiency. Find the right processor IP for your application.
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Cortex-A
Cortex-A725
- Designed to enhance consumer experience with AAA gaming and web browsing.
- Delivers increased sustained performance within fixed power envelope.
- Continues the area-optimized configurability option for cost-constrained markets.
Cortex-A710
- Addition of Armv9 architecture features for enhanced performance and security.
- Optimal for mobile compute use cases such as smartphones and smart TVs.
- 30% increase in energy efficiency compared to Cortex-A78.
Cortex-A520
- Most performant, high-efficiency CPU with improved power efficiency (up to 22% vs Cortex-A510) for DoU/real-world use cases.
- New QARMA3 PAC algorithm lowers the performance cost, strengthening PAC deployment in the consumer technology market.
- AArch64-only CPU for building big.LITTLE clusters across the consumer technology market.
Cortex-A510
- Large performance increases for a highly efficient CPU.
- Innovative microarchitecture upgrades.
- Over 3x uplift in ML performance compared to Cortex-A55.
Cortex-A78
- Built for next generation consumer devices.
- Enabling immersive experiences on new form factors and foldables.
- Improving ML device responsiveness and capabilities such as face and speech recognition.
Cortex-A78C
- Performance for laptop class productivity and gaming on-the-go.
- Advanced data and device security with Pointer Authentication.
- Improved scalability with up to 8 big core only configuration and up to 8MB L3 cache.
Cortex-A77
- Leadership performance and efficiency for 5G mobile solutions.
- Improved responsiveness for on device machine learning.
- Built for next-gen smartphones and laptops.
Cortex-A76
- Designed for devices undertaking complex compute tasks.
- Greater single threaded performance and improved energy efficiency.
- Enables faster responsiveness and at-the-edge support for machine learning applications.
Cortex-A75
- Flexible architecture provides a broad ecosystem of support.
- Executes up to three instructions in parallel per clock cycle.
- Broad market use covers smartphones, servers, automotive applications and more.
Cortex-A73
- Increased power efficiency of up to 30 percent over predecessors.
- Smallest Armv8-A processor.
- Designed for mobile and consumer applications.
Cortex-A72
- Advanced branch predictor reduces wasted energy consumption.
- Gain significant advantages in reduced memory requirements.
- Suitable for implementation in an Arm big.LITTLE configuration.
Cortex-A55
- Flexible design meets requirements to support broad market application.
- Ideal for smaller devices with constrained environments.
- Designed for compatibilty with DynamIQ configurations.
Cortex-A53
- Available in Arm Flexible Access.
- The choice for high single thread and FPU/Neon performance.
- Supports a wide range of applications across automotive and networking and more.
- Most widely deployed 64-bit Armv8-A processor.
Cortex-A35
- Power management features reduce the power budget.
- Supports 64-bit processing suitable for embedded applications.
- Ideal processor to use for IoT nodes and gateways.
Cortex-A34
- Scalable from a single core or up to a cluster of 4 processors.
- Advanced power management with idle power management features.
- Supports 64-bit processing suitable for embedded applications.
Cortex-A32
- Advanced power management with idle power mangement features.
- Scalability of use as a single core or up to a cluster of four processors.
- Logical choice for embedded and IoT markets.
Cortex-A7
- Enhanced hardware virtualization provided by Armv7-A extensions.
- Improved memory performance of up to 20 percent over its predecessors.
- Supports 32-bit, rich operating systems, including Linux.
Cortex-A5
- Scalable versatility for cost-sensitive, low-power applications.
- Advanced features and rich OS support for the smallest devices.
- Access at $0 through Arm Flexible Access.
Cortex-M
Cortex-M55
- Efficient scalar, ML, and DSP performance for general purpose applications.
- Arm TrustZone accelerates the route to PSA Certified silicon.
- Optional support for Arm Custom Instructions, enabling product differentiation without fragmentation.
Cortex-M35P
- Added physical resilience and system safety functions won't compromise performance.
- Includes the option of integrated digital signal processing (DSP).
- Layers of protection guard against easy attacks and system takeovers.
Cortex-M33
- Simplifies digital signal processing with security.
- Differentiate your product with TrustZone software isolation.
- Brings 32-bit performance to even the simplest and cost-sensitive devices.
Cortex-M23
- Includes built-in security foundation with TrustZone; Memory protection minimizes the of risk unexpected access.
- Ideal processor for use in energy-harvesting IoT nodes and small sensors.
- Access at $0 through Arm Flexible Access.
Cortex-M7
- Simplifies signal processing to bring high-performance DSP to the masses.
- Built in floating point processing reduces power consumption.
- Supports innovative MCUs for more intensive automation tasks.
Cortex-M4
- Integrated digital signal processing (DSP) simplifies system design.
- Essential microcontroller features make it ideal for industrial applications.
- Most widely deployed Cortex-M processor with broad ecosystem.
Cortex-M3
- Access at $0 through Arm Flexible Access.
- Commonly used across many smart home devices.
- Deployed in billions of devices across a broad set of embedded applications.
Cortex-M1
- Available for a no license fee through DesignStart FPGA.
- Based on the most proven and trusted embedded architecture.
- Optimised for FPGA development.
Cortex-M0+
- Take advantage of 32-bit processing intelligence at an 8-bit cost.
- Three highly optimized low power modes conserve energy.
- Most commonly used in wearables for healthcare, fitness and more.
Cortex-M0
- Access at $0 through Arm Flexible Access.
- Ideal for smart sensors and mixed signal systems-on-chip (SoC).
- Three highly optimized low power modes conserve energy.
Ethos - NPUs
Ethos-U85
- Delivers up to 4 TOPs scalable ML performance.
- 20% improvements in energy efficiency than previous Ethos-U NPUs.
- Native support for transformer networks.
Ethos-U65
- Delivers 1.0 TOP/s ML performance in about 0.6 mm2.
- Partner configurable from 256 to 512 8-bit MACs.
- Unified toolchain supports Cortex-M and Cortex-A based systems.
Ethos-U55
- Delivers up to 0.5 TOP/s, a 480x ML up lift and 90% energy reduction.
- Partner configurable from 32 to 256 8-bit MACs in around 0.1mm2.
- Rapid development with a single tool chain for Cortex-M and Ethos-U.
Arm NN SDK
- Free of charge.
- Supports Arm Cortex CPUs, Arm Mali GPUs and the Arm Machine Learning processor.
- Arm NN for NNAPI accelerates neural networks on Android devices.
Mali Graphics Processors
Mali-G625
- Designed to enhance consumer experience with AAA gaming and web browsing.
- Delivers increased sustained performance within fixed power envelope.
- Continues the area-optimized configurability option for cost constrained markets.
Mali-G620
- Adopts features from Mali-G720, including deferred vertex shading geometry pipeline.
- Design work from Mali-G720 can be used to address wider audience.
Mali-G615
- Adopts features from Mali-G715, including variable rate shading, for gaming boost.
- Enables high-quality battery life.
- Design work from Mali-G715 can be used to address wider audience.
Mali-470
- Final GPU based on the Mali Utgard architecture.
- Highly optimized for wearables and low-power devices.
- Doubles the energy-efficiency of Mali-400 GPU in the same silicon area.
Understanding AI Inference on Arm CPUs
Demand for running AI workloads on CPU is growing. This comprehensive guide provides a deep dive into CPU inference and the use cases for which this may be the practical choice. Explore the industries that are already benefiting from AI on CPU and learn about real-world examples.
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