Products for Smartphones
Explore the complete Arm product portfolio, spanning processors, compute subsystems, system IP, and developer tools that power billions of devices worldwide. Each contributes to Arm compute platforms, a secure and scalable foundation for performance, efficiency, and trust.
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Arm Lumex Compute Subsystems
Lumex Compute Subsystems (CSS)
- Enables smarter, faster, more secure mobile experiences.
- Optimized for performance with efficiency.
- Built for devs, not just devices.
- Scalable across tiers.
C1 CPUs
C1-Nano
- Purpose-built for low-power AI inference, voice activation, and contextual awareness.
- Enables sustained intelligence and vector power efficiency.
- Delivers performance uplift with minimal area change.
C1-Premium
- Advanced Arm SME2 integration for powerful AI acceleration.
- Up to 35% smaller area compared to C1-Ultra, with comparable sustained performance.
- Optimized for high-end user experiences.
C1-Pro
- Supports SME2 for efficient AI and ML acceleration.
- 16% higher performance in gaming.
- 2nd generation of area-optimized configuration delivers more performance with no area increase.
C1-Ultra
- 25% higher single-thread performance vs. previous-gen Arm Cortex-X925.
- +15% average speed-up in real-world applications.
- Advanced Arm SME2 for accelerated on-device AI workloads efficiently.
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-A720
- Built for next-generation consumer devices.
- Delivers consistently high performance for wearables, smartphones, and laptops.
- Offers new area configurability for an expanded range of use cases.
Cortex-A715
- The CPU cluster workhorse across "big.LITTLE" configurations.
- Targeted microarchitecture optimizations for 20% power efficiency improvements.
- Consistent performance gains to match Cortex-X1, Arm’s first-generation Cortex-X CPU.
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-A320
- Delivers AI acceleration.
- Includes advanced architecture features.
- Brings significant power-efficiency enhancements.
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 out-of-order 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-A65
- Best-in-class throughput efficiency for memory intensive workloads.
- Processes two threads simultaneously, scales up to eight cores in a single cluster.
- Built on DynamIQ technology, supports an array of configurations.
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-X
Cortex-X
- Delivers ultimate performance and compatibility with Arm Cortex-A.
- Addresses market-specific goals and relevant use cases.
- Provides DynamIQ support for intelligent, scalable solutions and flexibility.
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.
Arm Immortalis Graphics Processors
Arm Immortalis-G925
- Fragment prepass.
- Doubled tiler throughput.
- Doubled shift-convert unit thoughput.
- Improved command stream frontend.
- Improved ray tracing performance.
Arm Immortalis-G720
- Deferred vertex shading geometry pipeline.
- Doubled 64bpp texture throughput.
- Optimized 2xMSAA (multisampling anti-aliasing).
- Hardware-based ray tracing support on mobile.
Arm Immortalis-G715
- First Arm GPU to offer hardware-based ray tracing support on mobile.
- New variable rate shading for gaming boost.
- 2x architectural ML improvements.
Mali Graphics Processors
Mali-G720
- Deferred vertex shading geometry pipeline.
- Doubled 64bpp texture throughput.
- Optimized 2xMSAA (multisampling anti-aliasing).
Mali-G725
- Fragment prepass.
- Doubled tiler throughput.
- Doubled shirt-converter unit throughput.
- Improved command stream frontend.
Mali-G715
- New variable rate shading for gaming boost.
- Improved execution engine for more compute power.
- 2x architectural ML improvements.
Mali-G710
- Game changing features to improve on-device graphics.
- Inclusion of command stream frontend for a more realistic gaming experience.
- Larger cores to boost device efficiency to improve battery life.
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-G610
- Brings premium use cases to a wider audience of developers and consumers.
- Inclusion of command stream frontend for an improved gaming experience.
- Industry-leading device efficiency to boost battery life.
Mali-G510
- Bringing premium features to a range of different devices.
- Doubling on device graphics performance and increased visual fidelity on smart TVs.
- Doubling of machine learning capabilities on previous generation mainstream GPUs.
Mali-G310
- Multiple configurations to suit design needs.
- Inclusion of premium level features such as command stream frontend for a more realistic gaming experience.
- Targeting market segments and devices such as entry-level smart TVs and AR/VR devices.
Mali-G78
- Enables superior digital immersion for consumers.
- Asynchronous Top Level for power savings and greater battery life for next-generation devices.
- On device improvements in ML enabling more realistic gaming experiences on mobile.
Mali-G68
- Fused Multiply-Add (FMA) built from the ground up offers improved power consumption and prolonged battery life.
- Enables developers to target larger consumer markets with high-performing applications and mobile gaming.
Mali-G77
- 60 percent performance improvement for on-device machine learning.
- Improved high-fidelity gaming performance.
- Increased performance due to the innovative super scalar engine.
Mali-G76
- Execution engine width doubled with eight-thread pipelines.
- Uses three wider engines to double overall compute capability per shader core.
- 8-bit integer dot product accelerates neural network (NN) interface.
Mali-G57
- Improved performance and increased efficiency.
- Premium high-fidelity content delivered to mass markets.
- Re-engineered for Vulkan to be positioned for the future of gaming.
Mali-G72
- Arithmetic optimizations for performance and efficiency improvements.
- Advanced technologies to increase tile buffer memory support.
Mali-G52
- Large range of configurations - two or three 8-thread wide pipelines per shader core.
- Significant performance over Mali-G51 for complex graphics.
- 8-bit integer dot product accelerates neural network (NN) interface.
Mali-G31
- Significant area savings – 20 percent smaller than the mainstream GPU.
- 20 percent increased performance density for complex workloads.
- 12 percent improvement for the growing complexity of UI.
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.
System IP
CCI 550
- Reducing external memory accesses.
- Reducing the software overhead and complexity.
- Enabling use of Arm big.LITTLE processing technology with multiple processor clusters.
CCI-500
- Reduces external memory access.
- Reduces the software overhead and complexity.
- Enables use of Arm big.LITTLE processing technology with multiple processor clusters.
CCI-400
- Reducing external memory accesses.
- Reducing the software overhead.
Memory Management Unit
- Provides scalable IO address translation and memory protection.
- Optimized for virtualization in heterogeneous systems.
- Supports multiple MMU variants for varied performance needs.
Generic Interrupt Controller
- Routes and prioritizes interrupts to improve real-time system responsiveness.
- Scales across core counts to support complex multi-core architectures.
- Integrates with Arm processor architectures for standardized interrupt management.
CoreLink PCK-600
- Centralizes clock, reset, and power control to simplify SoC integration.
- Enables dynamic frequency and power management to reduce energy consumption.
- Supports scalable architectures with flexible control and monitoring interfaces.
CoreSight SDC-600
- Centralizes debug authentication and access control across the system.
- Supports secure and non-secure debug flows for production devices.
- Integrates with CoreSight 600 components to simplify SoC debug architecture.
CoreSight SoC-600
- Enables comprehensive debug and trace across CPUs, GPUs, and accelerators.
- Scales with system complexity to support large multi-core designs.
- Simplifies integration with standardized CoreSight architecture and tooling.
CoreSight SoC-600M
- Enables standardized CoreSight debug and trace for Arm based SoCs.
- Supports system-wide visibility with configurable trace and debug components.
- Optimized for low area and power for cost-sensitive embedded designs.
CoreSight SoC-400
- Enables comprehensive debug and trace across processors and system IP.
- Simplifies SoC integration with pre-configured CoreSight components.
- Scales to support complex multi-core and heterogeneous designs.
CoreSight TMC
- Buffers trace in SRAM, FIFO, or system memory for flexible capture options.
- Supports high-bandwidth trace streaming with minimal system impact.
- Integrates with CoreSight debug and trace architectures for scalable designs.
CoreSight STM-500
- Generates software and system events for runtime debug and profiling.
- Supports high-bandwidth trace with minimal performance impact.
- Integrates with CoreSight architectures for scalable system trace.
CoreSight ELA-500
- Captures internal signals without intrusive probes to accelerate system debug.
- Uses programmable comparators and triggers for targeted event analysis.
- Integrates with CoreSight debug and trace for scalable SoC visibility.
CoreSight ELA-600
- Captures internal signals without external probes to reduce debug time.
- Uses advanced comparators and triggers for precise event detection.
- Integrates with CoreSight 600 infrastructure for scalable system visibility.
Arm NoC S3
- Enables flexible topology and QoS to meet diverse bandwidth and latency requirements.
- Optimizes data movement efficiency across processors, accelerators, and memory.
- Simplifies SoC integration with automated configuration and validation tools.
System Interconnect SI 1
- Optimized for minimal latency to support real-time and control workloads.
- Reduces area and power with a lightweight, non-coherent architecture.
- Simplifies integration of processors and peripherals.
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