Apple A11
System on a chip (SoC) designed by Apple Inc.
The Apple A11 Bionic is a 64-bit ARM-based system on a chip (SoC) designed by Apple Inc. , part of the Apple silicon series,[ 6] and manufactured by TSMC .[ 1] It first appeared in the iPhone 8 and 8 Plus , and iPhone X which were introduced on September 12, 2017.[ 6] Apple states that the two high-performance cores are 25% faster than the Apple A10 's and the four high-efficiency cores are up to 70% faster than the two corresponding cores in the A10.[ 6] [ 7] The A11 Bionic chip was discontinued on April 15, 2020, following the discontinuation of the iPhone 8 and 8 Plus . The latest software update for the iPhone 8 & 8 Plus and iPhone X using this chip was iOS 16.7.10 , released on September 3, 2024.[ 8]
Design
The A11 features an Apple-designed 64-bit ARMv8-A six-core CPU, with two high-performance cores at 2.39 GHz, called Monsoon , and four energy-efficient cores, called Mistral .[ 1] [ 6] [ 5] The Monsoon cores are a 7-wide decode out-of-order superscalar design, while the Mistral cores are a 3-wide decode out-of-order superscalar design. The Mistral cores are based on Apple's Swift cores from the Apple A6 .[ 9] [failed verification ] The A11 uses a new second-generation performance controller, which permits the A11 to use all six cores simultaneously,[ 10] unlike its predecessor the A10 .
The A11 also integrates an Apple-designed three-core graphics processing unit (GPU) with 30% faster graphics performance than the A10.[ 6] Embedded in the A11 is the M11 motion coprocessor .[ 11] The A11 includes a new image processor which supports computational photography functions such as lighting estimation, wide color capture, and advanced pixel processing.[ 6]
The A11 is manufactured by TSMC using a 10 nm FinFET process[ 1] and contains 4.3 billion transistors[ 7] on a die 87.66 mm2 in size, 30% smaller than the A10.[ 12] It is manufactured in a package on package (PoP) together with 2 GB of LPDDR4X memory in the iPhone 8 [ 2] and 3 GB of LPDDR4X memory in the iPhone 8 Plus [ 12] and iPhone X .[ 13] [ 14]
The A11 has video codec encoding support for HEVC and H.264 . It has decoding support for HEVC, H.264, MPEG‑4 Part 2 , and Motion JPEG .[ 15]
Die Block Comparison (mm2 )[ 9]
SoC
A11 (10 nm)
Total Die
87.66
Big Core
2.68
Small Core
0.53
CPU Complex (incl. cores)
14.48
GPU Core
4.43
GPU Total
15.28
NPU
1.83
Neural Engine
The A11 also includes dedicated neural network hardware that Apple calls a "Neural Engine". This neural network hardware can perform up to 600 billion operations per second and is used for Face ID , Animoji and other machine learning tasks.[ 10] The neural engine allows Apple to implement neural network and machine learning in a more energy-efficient manner than using either the main CPU or the GPU.[ 16] [ 17] However, third-party apps cannot use the Neural Engine, leading to similar neural network performance to older iPhones.[ 9]
Bloomberg says that the neural engine is the fruit of Apple's efforts to improve its AI team, since the 2015 report by Bloomberg that Apple's secretive nature made it difficult to attract AI research scientists.[ 17] Apple has since recruited people and multiple companies working on AI, and has published papers related to AI research.[ 17] In October 2016, Apple hired Russ Salakhutdinov as its director of AI research.[ 18]
Products that include the Apple A11 Bionic
The Apple A11 Bionic chip is used in the following iPhone models and not on any generation of iPad , iPod touch , or Apple TV .
Gallery
Apple A11 SoC on iPhone 8 main logic board
See also
Apple silicon , the range of ARM-based processors designed by Apple
References
^ a b c d e f Cutress, Ian (September 12, 2017). "Apple 2017: The iPhone X (Ten) Announced" . AnandTech . Archived from the original on September 13, 2017. Retrieved September 12, 2017 .
^ a b "iPhone 8 Teardown" . iFixit. September 21, 2017. Archived from the original on September 22, 2017. Retrieved September 22, 2017 .
^ "iPhone X Benchmarks - Geekbench Browser" . Geekbench . Archived from the original on November 7, 2017. Retrieved November 1, 2017 .
^ "Measured and Estimated Cache Sizes" . AnandTech. October 5, 2018. Archived from the original on October 6, 2018. Retrieved October 6, 2018 .
^ a b Clover, Julie (September 10, 2017). "iOS 11 GM Leak Reveals Details on Face ID, Apple Pay, Wireless Charging, and A11 Chip in iPhone X" . MacRumors . Archived from the original on September 13, 2017. Retrieved September 13, 2017 .
^ a b c d e f g "iPhone 8 and iPhone 8 Plus: A new generation of iPhone" (Press release). Apple. September 12, 2017. Archived from the original on September 12, 2017. Retrieved September 12, 2017 .
^ a b "iPhone 8: A11 Bionic" . Apple . September 12, 2017. Archived from the original on November 1, 2017. Retrieved September 12, 2017 .
^ "About the security content of iOS 16.7.10 and iPadOS 16.7.10" . Apple Support . March 5, 2024. Retrieved March 5, 2024 .
^ a b c Frumusanu, Andrei (October 5, 2018). "The iPhone XS & XS Max Review: Unveiling the Silicon Secrets" . AnandTech . Archived from the original on January 26, 2021. Retrieved January 27, 2019 .
^ a b "The future is here: iPhone X" (Press release). Apple. September 12, 2017. Archived from the original on September 24, 2017. Retrieved September 12, 2017 .
^ "iPhone 8 - Technical Specifications" . Apple. September 12, 2017. Archived from the original on September 16, 2017. Retrieved September 12, 2017 .
^ a b Yang, Daniel; Wegner, Stacy; Fontaine, Ray (October 11, 2017). "Apple iPhone 8 Plus Teardown" . TechInsights . Archived from the original on May 12, 2019. Retrieved October 12, 2017 .
^ Gartenberg, Chaim (September 26, 2017). "iPhone X confirmed to have 3GB of RAM and 2,716mAh battery" . The Verge . Vox Media. Archived from the original on September 27, 2017. Retrieved September 27, 2017 .
^ "iPhone X Teardown" . iFixit. November 3, 2017. Archived from the original on November 3, 2017. Retrieved November 3, 2017 .
^ "iPhone 8 - Technical Specifications" . support.apple.com . Archived from the original on October 24, 2021. Retrieved October 24, 2021 .
^ Hruska, Joel (September 14, 2017). "What to Expect From Apple's Neural Engine in the A11 Bionic SoC" . ExtremeTech . Archived from the original on September 17, 2017. Retrieved September 16, 2017 .
^ a b c Gurman, Mark (May 26, 2017). "Apple Is Working on a Dedicated Chip to Power AI on Devices" . Bloomberg.com . Archived from the original on October 24, 2017. Retrieved September 16, 2017 .
^ Leswing, Kif (October 17, 2016). "Apple's latest hire could signal a big shift in the company's approach to AI" . Business Insider . Archived from the original on September 17, 2018. Retrieved October 12, 2017 .
Preceded by
Apple A11 Bionic 2017
Succeeded by
Products
Services
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Category
Application ARM-based chips
Application processors (32-bit)
ARMv7-A
Cortex-A5 Cortex-A7
Allwinner A2x, A3x, A83T, H3, H8
NXP i.MX7 , QorIQ LS10xx , NXP i.MX6UL
Broadcom VideoCore BCM2836, BCM23550
Leadcore LC1813, LC1860/C, LC1913, LC1960
Marvell Armada PXA1920, 1500 mini plus
MediaTek MT65xx
Qualcomm Snapdragon 200, 205, 208, 210, 212 , 400
Cortex-A8 Cortex-A9
Actions ATM702x , ATM703x
Altera Cyclone V, Arria V/10
Amlogic AML8726, MX, M6x, M801, M802/S802, S812, T86x
Apple A5 , A5X
Broadcom VideoCore BCM21xxx, BCM28xxx
Freescale i.MX6
HiSilicon K3V2 , 910's
InfoTM iMAPx912
Leadcore LC1810, LC1811
Marvell Armada 1500 mini
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 421x , 441x
ST-Ericsson NovaThor
Telechips TCC8803
Texas Instruments OMAP 4
Texas Instruments Sitara AM4xxx
VIA WonderMedia WM88x0, 89x0
Xilinx Zynq-7000
ZiiLABS ZMS-20, ZMS-40
Cortex-A15 Cortex-A17 Others ARMv7-A compatible
Apple A6 , A6X , S1 , S1P , S2 , S3
Broadcom Brahma-B15
Marvell P4J
Qualcomm Snapdragon S1, S2, S3, S4 Plus, S4 Pro, 600, 800 (Scorpion , Krait )
ARMv8-A
Application processors (64-bit)
ARMv8-A
Cortex-A35 Cortex-A53
Actions GT7, S900, V700
Allwinner A64, H5, H64, R18
Altera Stratix 10
Amlogic S9 Family, T96x
Broadcom BCM2837
EZchip TILE-Mx100
HiSilicon Kirin 620 , 650, 655, 658, 659 , 930, 935
Marvell Armada PXA1928, Mobile PXA1908/PXA1936
MediaTek MT673x , MT675x , MT6761V , MT6762 /V , MT6763T , MT6765 /G/H , MT6795 , MT8161, MT8163, MT8165, MT8732, MT8735, MT8752
NXP ARM S32 , QorIQ LS1088, LS1043 , i.MX8M
Qualcomm Snapdragon 215 , 410, 412, 415, 425, 427, 429, 430, 435, 439, 450 , 610, 615, 616, 617, 625, 626, 630
Renesas RZ/V2M
Rockchip RK3328, RK3368
Samsung Exynos 7570, 7578, 7580, 7870, 7880
Texas Instruments Sitara AM6xxx
UNISOC SC9820E , SC9832E, SC9860/GV
Xilinx ZynqMP
Cortex-A57 Cortex-A72
AWS Graviton
Broadcom BCM2711
HiSilicon Kirin 950, 955 , Kunpeng 916
MediaTek MT6797/D/T/X , MT8173, MT8176, MT8693
MStar 6A938
Qualcomm Snapdragon 650, 652, 653
Rockchip RK3399
NXP QorIQ LS2088 , QorIQ LS1046A , QorIQ LX2160A , QorIQ LS1028A , i.MX8
Cortex-A73
Qualcomm Snapdragon 460 , 632, 636, 660, 662, 665, 680, 685 , 6s 4G Gen 1 , 835
Samsung Exynos 7872, 7884, 7885, 7904, 9609, 9610, 9611
HiSilicon Kirin 710 , 960 , 970
MediaTek MT6771/V , MT6799 , MT8183, MT8788
Amlogic S922X
Others ARMv8-A compatible
ARMv8.1-A
ARMv8.2-A
Cortex-A55 Cortex-A75
Qualcomm Snapdragon 670 , 710, 712 , 845 , 850
Samsung Exynos 9820, 9825
MediaTek MT6769H/T/V/Z , MT6768, MT6779V
UNISOC T310, T606, T610, T615, T616, T618, T619, T620, T700, T710 , T740
Cortex-A76
Google Tensor
HiSilicon Kirin 810, 820 , 980, 985 , 990
Qualcomm Snapdragon 480(+) , 675, 678 , 720G, 730(G), 732G, 765(G), 768G , 855(+), 860 , 7c (Gen 2), 8c, 8cx (Gen 2)
Microsoft SQ1 and SQ2
MediaTek MT6781, MT6785V, MT6789 , MT6833V/P, MT6853V/T , MT6873, MT6875 , Dimensity 6020, 6080, 6100+, 6300(+) , MT8192
Samsung Exynos 990
UNISOC T750, T760, T765, T770, T820
Cortex-A77 Cortex-A78
Google Tensor G2
MediaTek MT6877, MT6878 , MT6879, MT6891, MT6893 , Dimensity 7020, 7025(Ultra), 7030, 7050, 7300(Energy/X) , 8000, 8020, 8050, 8100, 8200 , Kompanio 900T, 1200, 1380, 1300T
Qualcomm Snapdragon 4 Gen 1, 4 Gen 2 , 695 , 6 Gen 1, 6 Gen 3, 6s Gen 3 , 778G(+), 780G, 782G , 888(+)
Samsung Exynos 1080, 1280, 1330, 1380 , 2100
Cortex-X1 Neoverse N1 Others
Cortex-A65, Cortex-A65AE, Cortex-A76AE, Cortex-A78C, Cortex-X1C, Neoverse E1
ARMv8.2-A compatible
ARMv8.3-A
ARMv8.4-A
ARMv8.5-A
ARMv8.6-A
ARMv8.7-A
ARMv9.0-A
ARMv9.2-A