Products for Automotive
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-A720AE
- Designed for the next generation of software defined vehicles.
- Arm DynamIQ Shared Unit, DSU-120AE, brings increased levels of scalability.
- Introduces safety features for both ISO 26262 ASIL B and ASIL D certifications.
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-A520AE
- Designed for the next generation of software defined vehicles (SDVs).
- Innovative micro-architecture delivering highly efficient performance.
- Split-lock feature to build silicon once and address multiple markets.
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-A78AE
- Designed for the software-defined vehicle.
- Split-lock capability with hybrid mode for efficient functional safety and post-silicon flexibility.
- ISO 26262 ASIL D certifications, and enhanced features targeted at ASIL B and quality management use cases.
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-A76AE
- Purpose-built for functional safety applications such as ADAS and autonomous vehicles.
- First application processor with Split-Lock capability.
- Safety capable to industry standards, including ISO 26262 ASIL D.
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-A65AE
- Best-in-class throughput efficiency for memory intensive workloads.
- Highest levels of safety with Dual Core Lock-Step for demanding safety-critical tasks.
- Supports Split-Lock for improved cost efficiency in mixed-criticality applications.
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.
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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