ARM Cortex-A72

ARM Cortex-A72
Designed by	ARM Holdings
Microarchitecture	ARMv8-A
Cores	1–4 per cluster, multiple clusters^[1]
L1 cache	80 KiB (48 KiB I-cache with parity, 32 KiB D-cache with ECC) per core
L2 cache	512 KiB to 4 MiB
L3 cache	none

The ARM Cortex-A72 is a microarchitecture implementing the ARMv8-A 64-bit instruction set designed by ARM Holdings. The Cortex-A72 is an out-of-order superscalar pipeline.^[1] It is available as SIP core to licensees, and its design makes it suitable for integration with other SIP cores (e.g. GPU, display controller, DSP, image processor, etc.) into one die constituting a system on a chip (SoC).

Overview

Pipelined processor with deeply out of order, speculative issue 3-way superscalar execution pipeline
DSP and NEON SIMD extensions are mandatory per core
VFPv4 Floating Point Unit onboard (per core)
Hardware virtualization support
Thumb-2 instruction set encoding reduces the size of 32-bit programs with little impact on performance.
TrustZone security extensions
Program Trace Macrocell and CoreSight Design Kit for unobtrusive tracing of instruction execution
32 KiB data (2-way set-associative) + 48 KiB instruction (3-way set-associative) L1 cache per core
Integrated low-latency level-2 (16-way set-associative) cache controller, 512 KB to 4 MB configurable size per cluster
48-entry fully associative L1 instruction Translation Lookaside Buffer (TLB) with native support for 4 KiB, 64 KiB, and 1 MB page sizes
32-entry fully associative L1 data Translation Lookaside Buffer (TLB) with native support for 4 KiB, 64 KiB, and 1 MB page sizes
- 4-way set-associative of 1024-entry unified L2 TLB per core, supports hit-under-miss
Sophisticated branch prediction algorithm that significantly increases performance and reduces energy from misprediction and speculation
Early IC tag –3-way L1 cache at direct-mapped power*
Regionalized TLB and μBTB tagging
Small-offset branch-target optimizations
Suppression of superfluous branch predictor accesses

Application ARM-based chips

Application
processors
(32-bit)

Cortex-A5	Actions ATM702x Amlogic M805/S805 Atmel SAMA5D3 InfoTM iMAPx820, iMAPx15 Qualcomm Snapdragon S4 Play, 200 Telechips TCC892x

Cortex-A7	Allwinner A2x, A3x, A83T, H3, H8 Broadcom VideoCore BCM2836, BCM23550 Freescale QorIQ LS10xx Leadcore LC1813, LC1913 Marvell Armada PXA1920 MediaTek MT65xx Qualcomm Snapdragon 200, 400

Cortex-A8	Allwinner A1x Apple A4 Freescale i.MX5 Rockchip RK291x Samsung Exynos 3110, S5PC110, S5PV210 Texas Instruments OMAP 3 ZiiLABS ZMS-08

Cortex-A9	Actions ATM702x, ATM703x Altera Cyclone V, Arria V/10 Amlogic AML8726, MX, M6x, M801, M802/S802, S812, T866 Apple A5, A5X Broadcom VideoCore BCM21xxx, BCM28xxx Freescale i.MX6 HiSilicon K3V2 InfoTM iMAPx912 Leadcore LC1810, LC1811 MediaTek MT65xx Nvidia Tegra, 2, 3, 4i Nufront NuSmart 2816M, NS115, NS115M Renesas EMMA EV2, R-Car H1, RZ/A Rockchip RK292x, RK30xx, RK31xx Samsung Exynos 4 ST-Ericsson NovaThor Telechips TCC8803 Texas Instruments OMAP 4 VIA WonderMedia WM88x0, 89x0 Xilinx Zynq-7000 ZiiLABS ZMS-20, ZMS-40

Cortex-A15	Allwinner A80 HiSilicon K3V3 MediaTek MT6599 Nvidia Tegra 4, K1 Renesas R-Car H2 Samsung Exynos 5 Texas Instruments OMAP 5, DRA7xx, AM57xx

Cortex-A17	MediaTek MT6595 Rockchip RK3288

ARMv7-A compatible	Apple A6, A6X, S1 Broadcom Brahma-B15 Marvell P4J Qualcomm Snapdragon S1, S2, S3, S4 Plus, S4 Pro, 600, 800 (Scorpion, Krait)

Application
processors
(64-bit)

Cortex-A53	Actions S900 Allwinner A64, H64 Altera Stratix 10 Amlogic S905 Broadcom BCM2837 EZchip TILE-Mx100 Marvell Armada PXA1928, Mobile PXA1908/PXA1936 MediaTek MT673x, MT675x, MT6795, MT8732, MT8752, Helio X10 NXP ARM S32 Qualcomm Snapdragon 410 Rockchip RK3368 Xilinx ZynqMP HiSilicon Kirin 620 HiSilicon Kirin 950

Cortex-A57	AMD Opteron A1100 Freescale QorIQ LS20xx Nvidia Tegra X1 Qualcomm Snapdragon 808, 810 Samsung Exynos 7

Cortex-A72	HiSilicon Kirin 950 MediaTek Helio X20 Qualcomm Snapdragon 650, 652 Rockchip RK3399

Cortex-A73	MediaTek Helio X30 HiSilicon Kirin 960

ARMv8-A compatible	Apple A7, A8, A8X, A9, A9X Applied Micro X-Gene Samsung Mongoose Cavium ThunderX CN87xx, CN88xx Nvidia Tegra K1 (Project Denver) NXP i.MX 8 Qualcomm Kryo

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