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ARM Cortex-A55

The ARM Cortex-A55 is a mid-range, power-efficient CPU core developed by Arm, implementing the Armv8.2-A 64-bit architecture with support for the Armv8.1-A, Armv8.2-A, and Armv8.3-A (LDAPR only) extensions, and designed as the successor to the Cortex-A53 for use in heterogeneous DynamIQ systems.^[1]^[2] Announced on May 29, 2017, it emphasizes scalability with over 3,000 configuration options, including private L2 caches from 64 KB to 256 KB per core and shared L3 caches up to 4 MB across clusters of up to eight cores, enabling deployment in constrained environments from wearables to automotive systems.^[3] Key features include enhanced NEON vector processing for machine learning workloads, supporting up to 16 eight-bit integer operations per cycle, and advanced power management with fine-grained controls like independent voltage domains and dynamic L3 cache gating to optimize efficiency.^[1]^[3] Compared to the Cortex-A53, the A55 delivers up to 18% higher performance while achieving 15% better power efficiency, alongside up to 2x memory bandwidth for sustained operation in multi-threaded scenarios.^[4] It also incorporates reliability enhancements such as ECC support for safety-critical applications up to ASIL-D in automotive infotainment and control units, and optional cryptographic extensions for AES and SHA acceleration.^[1]^[3] The Cortex-A55 has been widely adopted in mobile devices like smartphones and tablets, as well as embedded systems, forming the "little" cores in big.LITTLE configurations paired with high-performance siblings like the Cortex-A75 or A78 to balance responsiveness and battery life.^[1] Its integration with AMBA 5 ACE or CHI interfaces facilitates cluster-based designs, enabling efficient scaling from edge computing to cloud infrastructure.^[3]

Introduction

Overview

The ARM Cortex-A55 is a 64-bit CPU core compliant with the ARMv8.2-A architecture, engineered for high scalability in power- and area-constrained environments such as mobile devices, embedded systems, and IoT applications.^[2] Announced in May 2017 as part of ARM's DynamIQ initiative, it functions primarily as the efficient "little" core in heterogeneous big.LITTLE or DynamIQ configurations, balancing high-performance demands with energy efficiency to support sustained operation in diverse computing scenarios.^[3] Key specifications include an in-order execution pipeline capable of operating at clock speeds up to 2.1 GHz and seamless integration with ARM's Mali GPUs and other intellectual property through standard AMBA interfaces.^[1]^[5] Relative to its predecessor, the Cortex-A53, the A55 provides up to 18% higher single-threaded performance uplift while achieving 15% better power efficiency within the same power envelope, enhancing responsiveness for tasks like touchscreen interactions and machine learning workloads.^[4]

Development History

The ARM Cortex-A55 evolved from its predecessor, the Cortex-A53, as an enhanced in-order core aimed at overcoming limitations in sustained performance and efficiency for increasingly complex modern workloads in mobile and embedded devices.^[3] Unveiled by ARM at Computex 2017 alongside the high-performance Cortex-A75 processor and the Mali-G72 GPU, the Cortex-A55 was developed to meet the growing demands for power-efficient computing in the era of AI and machine learning applications, where rising transistor budgets in system-on-chips enabled more sophisticated heterogeneous designs under the new DynamIQ technology framework.^[6]^[7] Key design goals focused on delivering up to 18% higher performance while achieving 15% improved power efficiency over the Cortex-A53, with architectural refinements boosting instructions per cycle through better branch prediction and execution pipelines, all while targeting sub-2W power envelopes suitable for always-on processing tasks in battery-constrained environments.^[8]^[9] Significant milestones included the first silicon availability in late 2018 via integration in the Qualcomm Snapdragon 675 mobile platform, followed by full ecosystem maturity in 2019 as it powered numerous mid-range smartphones and IoT devices; further enhancements came through support for ARMv8.2-A extensions, including Dot Product instructions to accelerate machine learning workloads.^[10]^[11] As of 2025, the Cortex-A55 continues to hold relevance in cost-sensitive markets for efficient mid-range applications, serving as a foundational efficiency core complemented by newer designs like the Cortex-A510 rather than being directly supplanted.^[12]^[13]

Technical Specifications

Microarchitecture

The ARM Cortex-A55 core utilizes an 8-stage in-order pipeline with dual-issue capability for integer operations, striking a balance between performance and power efficiency suitable for high-volume consumer devices. This design allows the core to issue two instructions per cycle in most cases, primarily for integer arithmetic and loads, while maintaining simplicity to minimize area and energy use.^[14] The execution units comprise a single integer unit handling ALU operations, a dedicated floating-point and NEON unit that incorporates Armv8.2 FP extensions for improved scalar and vector floating-point performance, and a load/store unit supporting up to 3 outstanding loads to overlap memory accesses and reduce stalls. The NEON unit, in particular, enables efficient processing of 128-bit vector operations, including support for dot-product instructions useful in machine learning workloads.^[3]^[15] The cache hierarchy includes configurable per-core L1 instruction and data caches ranging from 16 to 64 KB each, implemented as virtually indexed physically tagged (VIPT) arrays for fast access; these are backed by an optional private L2 cache of 64 KB to 256 KB per core, operating at core clock speed with reduced latency compared to prior generations. The design also accommodates system-level caching, such as optional shared L3 up to 4 MB via the DynamIQ Shared Unit (DSU) or CoreLink interconnects like CCI-500, to enhance coherency in multi-cluster configurations.^[4] Branch prediction employs an improved two-level adaptive predictor augmented by an indirect branch target buffer, enabling accurate speculation on control flow and limiting misprediction penalties to 8-10 cycles through better handling of loops and indirect jumps. This mechanism integrates elements like zero-cycle micro-predictors to sustain instruction fetch without bubbles, contributing to smoother execution in branch-heavy code. The memory subsystem features a 64-bit AMBA AXI4 interface for interconnecting with system buses, providing high throughput for data transfers, and includes support for the Large Physical Address Extension (LPAE) to enable up to 48-bit virtual addressing, facilitating larger address spaces in 64-bit applications.^[4] Optimized for fabrication on sub-10nm process nodes, the Cortex-A55 has been implemented on TSMC's 7nm and Samsung's 8nm technologies, allowing licensees to achieve dense, low-power deployments in smartphones and IoT devices.

Instruction Set Architecture

The ARM Cortex-A55 core implements the Armv8.2-A instruction set architecture, providing native support for the 64-bit AArch64 execution state as its primary mode of operation.^[16]^[17] This base ISA enables efficient execution of modern 64-bit applications while maintaining compatibility with the Armv8-A foundational features, such as advanced memory management and exception handling. Optional support for the 32-bit AArch32 execution state is available for legacy software compatibility, allowing seamless transition from older Arm architectures.^[18]^[19] Key extensions in the Cortex-A55 enhance its capabilities for specific workloads. It includes Dot Product instructions, introduced in Armv8.2-A, which accelerate machine learning tasks by enabling efficient computation of dot products on 8-bit and 16-bit integer data within the Advanced SIMD framework.^[16]^[17] Cryptography extensions provide hardware acceleration for AES encryption/decryption and SHA hashing algorithms, improving performance in secure data processing scenarios.^[16] Additionally, Reliability, Availability, and Serviceability (RAS) extensions support error detection and reporting mechanisms, such as syndrome registers for handling faults in memory and interconnects.^[16]^[18] Vector processing is handled through the Advanced SIMD (NEON) unit, featuring 128-bit vector registers that support a range of data types, including half-precision floating-point (FP16) operations for energy-efficient AI and signal processing workloads.^[16]^[19] For virtualization and security, the core incorporates stage-2 address translation to enable hypervisor isolation of guest operating systems, along with Arm TrustZone technology for partitioning the execution environment into secure and non-secure worlds.^[18] Full support for Thumb-2 compressed instructions is provided in the AArch32 state, reducing code size and improving instruction cache efficiency in embedded and resource-constrained applications.^[18] Compared to the Armv8.0-A baseline, the Cortex-A55 incorporates Armv8.2-A advancements, such as the Dot Product and enhanced cryptography features, while memory tagging extension (MTE) support remains optional and is not part of the core implementation.^[16]^[17] This configuration balances forward compatibility with power efficiency for mid-range devices.^[16]

Key Features

Performance Enhancements

The Cortex-A55 achieves a 15-18% improvement in instructions per cycle (IPC) compared to the Cortex-A53, primarily through enhancements in the front-end pipeline, including an instruction fetch unit capable of retrieving up to 8 instructions per cycle and dual-issue decode capabilities that allow for more efficient handling of instruction streams.^[20] Branch prediction has been significantly refined in the Cortex-A55, incorporating an advanced predictor with a return stack mechanism for function calls and jumps, resulting in approximately 20% lower misprediction rates than the A53.^[1] For multi-core configurations, the Cortex-A55 supports up to 8 cores per DynamIQ cluster with a low-latency interconnect that minimizes communication overhead, delivering around 1.5x speedup in multi-threaded parallel tasks relative to single-core execution.^[1]^[20] In AI and machine learning applications, the optional Dot Product extension provides up to 4x acceleration for 8-bit integer matrix multiplications in neural network operations compared to equivalent scalar implementations, leveraging SIMD instructions for efficient vector processing.^[21]^[20] Benchmark results underscore these gains, with SPECint2006 scores reaching approximately 3-4 GEIPS/MHz and up to 20% faster single-threaded performance in Android workloads at the same frequency as the A53.^[20] The core's scalability enables operation across a frequency range of 1.0 to 2.1 GHz, supported by dynamic voltage and frequency scaling to handle bursty workloads effectively while maintaining efficiency.^[1]

Power and Efficiency

The ARM Cortex-A55 targets a low power envelope suitable for efficient operation in mobile and embedded systems, achieving up to 15% better power efficiency than the Cortex-A53 at identical frequency and process technology while delivering up to 18% higher performance. In configurations optimized for minimal energy use, it can match the A53's performance at approximately 30% lower power consumption. This design enables deployment in battery-constrained environments, supporting extended operation without compromising functionality.^[22] Area efficiency is a core strength of the Cortex-A55, with its architecture allowing over 3,000 unique configurations—10 times more scalable than the A53—facilitating smaller die footprints through options like omitting private L2 caches for IoT and cost-sensitive applications. The in-order pipeline contributes to this by minimizing transistor count compared to more complex out-of-order designs, enabling denser multi-core clusters without excessive silicon overhead. Power management features include fine-grained clock gating and independent power domains for integer and floating-point units, as well as groups of cores within a cluster. These support dynamic voltage and frequency scaling (DVFS) with enhanced granularity, allowing seamless transitions to low-power states under 10 mW for always-on modes. Optimized for advanced process nodes using high-k metal gate transistors, the core reduces static leakage power, contributing to overall efficiency gains suitable for devices requiring over 24 hours of standby. The trade-off of an in-order design favors energy efficiency and simplicity over out-of-order execution's higher peak throughput, excelling in scenarios like background processing and sensor fusion where consistent low-energy operation is paramount.

System Integration

DynamIQ Compatibility

The ARM Cortex-A55 integrates seamlessly with DynamIQ technology, which replaces the rigid configurations of traditional big.LITTLE clusters by enabling designers to mix and match different CPU cores within a single, scalable cluster that shares a common memory system through the DynamIQ Shared Unit (DSU).^[23] The DSU serves as the central interconnect hub, incorporating a configurable shared L3 cache and control logic to support heterogeneous combinations of performance and efficiency cores, allowing for optimized power and performance tuning across applications from mobile devices to embedded systems.^[2] As the designated efficiency core in DynamIQ setups, the Cortex-A55 functions as a "LITTLE" tile, pairing with higher-performance cores like the Cortex-A78 to form heterogeneous clusters limited to a total of up to 8 cores per DSU—for instance, configurations such as 2× Cortex-A78 + 6× Cortex-A55 enable balanced workloads where efficiency cores handle background tasks.^[4] This adaptability stems from the core's design within the DSU, which facilitates fine-grained core selection and scaling without the constraints of fixed cluster sizes.^[20] The interconnect fabric in DynamIQ relies on the AMBA CHI (Coherent Hub Interface) protocol within the DSU, providing low-latency, cache-coherent communication between cores and the shared L3 cache to support seamless task migration and data sharing in multi-core environments.^[20] For the Cortex-A55, this enables efficient operation in mixed clusters, where the CHI interface minimizes overhead during core handoffs, enhancing overall system responsiveness.^[24] Key benefits for the Cortex-A55 include support for dynamic scaling from 1 to 8 instances within a single DSU tile, paired with a shared L3 cache configurable up to 4 MB, which boosts hit rates and reduces power consumption by promoting data reuse across efficiency cores.^[25] This setup improves energy efficiency in scenarios with variable workloads, as the shared cache and coherent interconnect allow the A55 to offload or absorb tasks fluidly without performance penalties.^[23] Implementation of the Cortex-A55 in DynamIQ configurations requires integration with ARM's CoreLink infrastructure, including components like the NIC-400 for non-coherent interconnects to peripherals, ensuring compatibility with broader SoC designs; the technology first appeared in commercial SoCs in 2018. By 2025, DynamIQ has evolved with enhanced DSU variants supporting Armv9-A cores and larger cluster sizes up to 14 cores with up to 32 MB L3 cache, though the Armv8.2-A-based Cortex-A55 mixes only with other compatible Armv8 cores in its original DSU configurations.^[23] As of November 2025, the Cortex-A55 remains relevant in low-power embedded and IoT devices within Armv8-based DynamIQ systems.^[26]

Cluster Configurations

The ARM Cortex-A55 supports cluster configurations within the DynamIQ Shared Unit (DSU), enabling 1 to 8 cores per DSU for efficient multi-core operation.^[2] This setup allows multiple DSUs per chip, enabling configurations with more than 8 A55 cores for homogeneous or A55-dominant designs.^[27] The DSU integrates the cores with shared L3 cache and control logic, facilitating scalable implementations tailored to application needs. Inter-core communication in A55 clusters relies on cache coherency managed by the Snoop Control Unit (SCU) within the DSU, which maintains consistency across core data caches and the shared L3.^[28] The SCU includes a snoop filter to reduce unnecessary traffic and supports direct cache-to-cache transfers for efficiency. For system-level integration, clusters connect via the Accelerator Coherency Port (ACP) for coherent access by peripherals or accelerators, or the full Coherent Hub Interface (CHI) for broader interconnects, such as linking multiple DSUs.^[29] Common configurations include dual-core setups optimized for low-power IoT devices, where minimal core count prioritizes energy savings, and up to eight-core arrangements for entry-level mobile processors to balance parallelism and area.^[2] Intra-cluster bandwidth supports high-throughput data sharing through the DSU's internal fabric, enabling effective handling of lightweight workloads across cores. Thermal and power management in A55 clusters incorporate an integrated Performance Monitoring Unit (PMU) in each core and the DSU, allowing core-level monitoring and throttling to prevent overheating. This supports heterogeneous Dynamic Voltage and Frequency Scaling (DVFS) across cores or domains within the cluster, with asynchronous bridges in the DSU enabling independent clocking for fine-grained control.^[29] Due to the in-order execution pipeline of the A55, clusters are best suited for parallel execution of light threads, such as in efficiency cores for background tasks, rather than demanding single-threaded computations that benefit from out-of-order processing. The Cortex-A55 evolves from the fixed 4-core clusters of the Cortex-A53, adopting the flexible DynamIQ architecture to allow variable core counts and easier mixing in heterogeneous systems while maintaining software compatibility.^[29]

Licensing and Availability

Licensing Model

The ARM Cortex-A55 processor core is licensed by Arm Holdings under a model that combines upfront fees with ongoing royalties, enabling semiconductor partners to integrate the IP into their designs for commercial production. Licenses are typically perpetual and royalty-bearing, with upfront fees varying based on the licensee's projected volume and negotiation terms, often ranging from $1 million to $5 million for mid-tier implementations. Royalties are assessed at 0.5% to 2% of the selling price per chip containing the core, scaled according to shipment volumes and specific agreements.^[30]^[31]^[32] The IP is delivered primarily as synthesizable Register Transfer Level (RTL) code in Verilog, allowing licensees to implement and optimize the core within their system-on-chip designs, though binary formats are available for accelerated integration in certain configurations. Customization options include configurable L1 instruction and data cache sizes of 16 KB, 32 KB, or 64 KB per core, as well as optional L2 cache capacities of 64 KB, 128 KB, or 256 KB shared within clusters. Additional extensions, such as Reliability, Availability, and Serviceability (RAS) features for server-oriented variants, can be enabled, potentially increasing area by 5-10% while enhancing error handling.^[33] Support packages accompanying the license encompass comprehensive validation suites for verification, along with software modeling tools like Arm's Fast Models for pre-silicon simulation and system exploration. These resources facilitate migration from prior designs, such as the Cortex-A53, by providing compatibility layers and updated drivers. Access to the Cortex-A55 is facilitated through Arm's Flexible Access program, which offers no-cost prototyping and evaluation for eligible partners, transitioning to paid production licenses; ongoing updates, including bug fixes, are provided through at least 2025 without major architectural revisions.^[34]^[18] Licensing restrictions prohibit the release or redistribution of Arm's proprietary source code, ensuring IP protection, while requiring adherence to the Arm architecture license for any custom microarchitectural variants or extensions. Licensees must comply with end-user license agreements that limit use to internal development and authorized manufacturing, without granting rights to reverse-engineer or modify the core beyond specified options.^[35]^[36]

Major Licensees

The primary licensees of the ARM Cortex-A55 core include major semiconductor firms that have integrated it into their system-on-chip (SoC) designs for mid-range and entry-level mobile devices since its commercial availability in 2018. Qualcomm has extensively adopted the Cortex-A55 in its Snapdragon 6 and 7 series processors, such as the Snapdragon 670, 675, 710, 730, and later models like the 865, often configuring it in big.LITTLE configurations with higher-performance cores for balanced power efficiency in smartphones. MediaTek incorporates the Cortex-A55 in its Helio G and P series, including the Helio G80, G85, G90, P65, and P90, targeting gaming-oriented and budget smartphones with octa-core setups emphasizing cost-effective performance.^[37] Samsung utilizes the core in mid-range Exynos 9xx SoCs, such as the Exynos 9810, 9820, 9825, and 990, pairing it with custom Mongoose or Exynos M-series performance cores to optimize for Galaxy devices.^[38]^[39] HiSilicon, Huawei's chip design arm, employs the Cortex-A55 in Kirin 7xx and 8xx series like the Kirin 810, 980, and 990, integrating it into 7nm processes for premium yet efficient mobile platforms.^[40]^[41] Niche adopters have leveraged the Cortex-A55 for specialized embedded and low-power applications. Renesas includes quad-core Cortex-A55 configurations in its RZ/V and RZ/G series microprocessors, such as the RZ/V2M, RZ/G2UL, RZ/A3M, and RZ/G3E (announced July 2025), starting from 2020, for automotive, IoT, and human-machine interface (HMI) systems with integrated AI accelerators.^[42]^[43]^[44] Allwinner uses the core in budget SoCs like the T536 and A133, featuring quad-core setups for entry-level tablets and multimedia devices.^[45] Rockchip integrates the Cortex-A55 in its RK35xx series, including the RK3566, RK3568, and RK3588, often as efficiency clusters in octa-core designs for tablets, single-board computers, and media players.^[46]^[47] Customization approaches vary among licensees to enhance efficiency and integration. Qualcomm developed semi-custom Kryo variants of the Cortex-A55, such as in the Kryo 385 and later iterations, which include tweaks to the microarchitecture for improved branch prediction and cache management, contributing to overall SoC performance gains in Snapdragon platforms.^[48] Samsung pairs the standard Cortex-A55 with its Exynos Memory Interface (MIF) and custom big cores in Exynos 9xx designs, enabling tighter memory subsystem integration for better multitasking in mid-range devices.^[49] As of 2025, several licensees are transitioning to the successor Cortex-A510 core in newer high-efficiency designs for Armv9 compatibility and improved ML performance, while retaining the Cortex-A55 in legacy and low-cost products for its proven maturity and broad ecosystem support.^[50]^[51]

Applications and Usage

Target Markets

The ARM Cortex-A55 has found significant adoption in mobile devices, particularly budget smartphones optimized for Android Go editions and feature phones, where it handles user interfaces, connectivity tasks, and lightweight applications efficiently.^[1]^[52] In embedded systems and IoT applications, the Cortex-A55 powers smart home devices, wearables, and sensors, enabling always-on processing with total power consumption under 1W through its fine-grained power management features.^[1]^[3] Within the automotive sector, it supports entry-level infotainment systems and advanced driver-assistance systems (ADAS) clusters, incorporating reliability, availability, and serviceability (RAS) extensions that align with ISO 26262 functional safety standards for enhanced system robustness.^[1]^[53] For edge computing, the Cortex-A55 facilitates machine learning inference in devices such as cameras and routers, utilizing its dot-product instructions in the NEON SIMD unit to perform AI tasks at under 100mW, balancing performance and energy constraints in distributed environments.^[1]^[54] As of 2025, the design reflects sustained demand despite a 5-10% year-over-year decline in premium mobile segments; growth persists in 5G-enabled IoT applications, driven by expanding connected ecosystems.^[3]^[55] While facing competition from RISC-V architectures in ultra-low-end markets due to open-source licensing advantages, the Cortex-A55 maintains dominance in high-volume segments through the established ARM ecosystem, software compatibility, and integrated toolchains.^[56]^[57]

Notable Implementations

The Qualcomm Snapdragon 675, announced in 2018, was one of the first mobile SoCs to implement the Cortex-A55 as efficiency cores, featuring a configuration of 2x Cortex-A76 performance cores at 2.0 GHz and 6x Cortex-A55 efficiency cores at 1.8 GHz. This design provided approximately 15% better battery life in mixed workloads compared to prior A53-based Snapdragon 600-series chips, such as the Snapdragon 660. The SoC powered mid-range devices like the OPPO Reno and Realme 3 Pro, emphasizing improved power efficiency for everyday tasks. In mobile applications, the MediaTek Helio G99, launched in 2022, utilizes 2x Cortex-A76 cores at 2.2 GHz paired with 6x Cortex-A55 cores at 2.0 GHz, targeting budget gaming smartphones such as the Realme Narzo 50 and Infinix Note 12. This octa-core setup, built on a 6 nm process, delivers balanced performance for gaming and multimedia while maintaining low power draw suitable for extended sessions. For another example, the Qualcomm Snapdragon 720G from 2020 incorporates 2x Cortex-A76 at 2.3 GHz and 6x Cortex-A55 at 1.8 GHz, appearing in devices like the Xiaomi Mi 10i and Realme 6, where the A55 cluster handles background efficiency in cluster configurations like big.LITTLE. In automotive and embedded systems, the Renesas RZ/V2N microprocessor, introduced in 2025, integrates a quad-core Cortex-A55 cluster at 1.8 GHz alongside a proprietary DRP-AI3 accelerator delivering up to 15 TOPS for vision AI processing. This makes it suitable for robotics and smart factory applications requiring real-time image analysis, such as object detection in industrial robots, without needing external cooling fans. Similarly, the Rockchip RK3568 SoC, released in 2021, employs 4x Cortex-A55 cores at up to 2.0 GHz and is commonly used in industrial tablets like the Geniatech K3 series for rugged environments, supporting tasks like data logging and HMI interfaces. Additionally, the Cortex-A55 appears in 5G infrastructure, such as MediaTek's T930 platform, which combines a quad-core A55 CPU with an M90 5G modem for low-power customer premises equipment and remote radio heads in base stations, optimizing energy use in edge 5G deployments. The Cortex-A55 is frequently paired with the Arm Mali-G52 GPU in mid-range SoCs, enabling support for OpenGL ES 3.2 and Vulkan 1.1 for graphics-intensive applications. Examples include the Rockchip RK3568 and MediaTek Helio P70, where this combination facilitates efficient rendering in embedded displays and mobile gaming. By 2023, the Cortex-A55 had been phased out from flagship smartphones in favor of newer efficiency cores like the A510, but it continues to sustain performance in 2025's budget device tier ($100-300), particularly in efficiency clusters for IoT and entry-level mobiles.

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Kirin 810 - HiSilicon - WikiChip
Oct 24, 2021 · This chip, which is fabricated on TSMC's 7 nm process, features two Cortex-A76 big cores operating at up to 2.27 GHz along with six Cortex-A55 ...
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https://semiconductor.samsung.com/processor/mobile-processor/exynos-9-series-9810/
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1GHz Renesas RZ/A3M Cortex-A55 MPU embeds 128MB on-chip ...
May 19, 2025 · Renesas RZ/A3M is an Arm Cortex-A55 microprocessor (MPU) clocked at up to 1.0 GHz with 128MB on-chip DDR3L for cost-effective, yet advanced HMI applications.
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ALLWinner Series Newest System-On-Modules - SOM
4.5 1.5K · $4.99 delivery · 30-day returnsFeature Allwinner T536 processor based on quad-core Arm® Cortex®-A55 CPU and 600MHz RISC-V E907 MCU. MYIR MYC-LR3576 System-On-Modules (SOMs). 12.12.2024.
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ARM Cortex-A55 - Wikipedia
The ARM Cortex-A55 is a central processing unit implementing the ARMv8.2-A 64-bit instruction set designed by ARM Holdings' Cambridge design centre.
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Exynos 9820 | Mobile Processor | Samsung Semiconductor Global
The CPU consists of two custom cores for ultimate processing power, two Cortex-A75 cores for optimal performance, and four Cortex-A55 cores for greater ...Missing: 9xx | Show results with:9xx
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Qualcomm shifts chips to newer Arm tech as competition ... - Reuters
Oct 1, 2025 · Exclusive: Qualcomm shifts chips to newer Arm tech as competition with Apple, MediaTek heats up · Qualcomm adopts Arm's v9 architecture, with ...
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First Armv9 cores unveiled - Cortex-A510, Cortex-A710, Cortex-X2
May 26, 2021 · The company has now introduced the first three Armv9 cores with Cortex-X2, Cortex-A710, and Cortex-A510 cores, providing updates to respectively Cortex-X1, ...Missing: licensees | Show results with:licensees
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Moto E6i is a budget Android Go phone with a Unisoc processor
Feb 11, 2021 · It's available in Brazil for about $200. The phone's processor is a 1.6 GHz ARM Cortex-A55 octa-core processor with Imagination IMG PowerVR ...
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Functional Safety Solutions to Accelerate SDV and ADAS ... - Arm
Functional Safety: Arm Safety Ready AE IP, CSS, and tools accelerate ADAS, IVI, and SDV development with ISO 26262 compliance and faster time to market.Missing: RAS | Show results with:RAS
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Omdia Market Radar: AI Processors for the Edge – 2021
... ML has been a priority for ARM for some time, with work going on for at least seven years. 2017's Cortex-A55 already had a dot-product instruction. The ...
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2025 Mobile Outlook Report | TechInsights
2025 Consumer Electronics Outlook Report. Get a glimpse of the future as the global consumer IoT market is set to grow 8.8% in 2025, driven by generative AI ...
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RISC-V vs ARM: A Comprehensive Comparison of Processor ...
Feb 28, 2025 · This comprehensive comparison explores the background, architectural differences, performance, power efficiency, ecosystem, licensing models, and future ...
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Differences Between RISC-V and ARM Processors - BLIIoT
Sep 16, 2025 · Compare RISC-V and ARM processors: open vs proprietary ISAs, performance, ecosystems, costs, and use cases from IoT to servers and automotive.