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Apple A16 - Wikipedia
From Wikipedia, the free encyclopedia
System-on-a-chip designed by Apple Inc

Apple A16 Bionic
General information
LaunchedSeptember 7, 2022
Marketed byApple Inc.
Designed byApple Inc.
Common manufacturer
  • TSMC
Product codeAPL1W10[1]
Performance
Max. CPU clock rate2.02 GHz to 3.46 GHz
Physical specifications
Transistors
  • 16 billion
Cores
  • 6 cores:
    • 2 performance
    • 4 efficiency
Memory (RAM)
  • 6 GB
GPUApple-designed 4- or 5-core GPU @ 1398 MHz
Cache
L1 cache320 KB per P-core (192 KB instruction + 128 KB data)
224 KB per E-core (128 KB instruction + 96 KB data)
L2 cache16 MB (performance cores)
4 MB (efficiency cores)
Last level cache24 MB
Architecture and classification
ApplicationMobile
Technology node4 nm (N4P)
Microarchitecture
  • Everest
  • Sawtooth
InstructionsARMv8.6-A[2]
Products, models, variants
Variant
  • Apple S9/S10 SiP (cut-down version that utilizes high efficiency cores from A16), Apple M3
History
PredecessorApple A15 Bionic
SuccessorsApple A17 Pro (iPhone 15 Pro, iPhone 15 Pro Max), Apple A18 (iPhone 16e, iPhone 16, iPhone 16 Plus)

The Apple A16 Bionic (known as just the A16 for the eleventh-generation iPad) is a 64-bit ARM-based system on a chip (SoC) designed by Apple Inc., part of the Apple silicon series, and manufactured by TSMC. It is used in the iPhone 14 Pro and 14 Pro Max, 15 and 15 Plus and iPad (A16).[3]

Design

[edit]

The Apple A16 Bionic features an Apple-designed 64-bit six-core CPU implementing ARMv8.6-A[2] with two "Everest" [4][5] high-performance cores running at 3.46 GHz,[6] and four "Sawtooth" [4][5] energy-efficient cores running at 2.02 GHz,[7] in a similar design to the A15 processor on iPhone 14. Apple claims the A16 is about 40% faster than the competition,[3] and it also has new efficiency cores, with their big advantage being they use a third of the power of the best efficiency cores of other phones on the market.

The A16 contains 16 billion transistors, a 6.7% increase from the A15's transistor count of 15 billion. It includes an improved neural processing unit (NPU) with 16 cores known as the "Apple Neural Engine", a new image signal processor (ISP) with improved computational photography capabilities, and a new module for handling screen-related features that Apple calls a "Display Engine".[3]

The A16 has hardware video encoding and decoding support for the HEVC, H.264, and ProRes codec.[8]

During the iPhone 14 launch event Apple touted the A16 chip as the first 4 nm processor in a smartphone.[3] However, a TechInsights analysis found that the A16 was manufactured by TSMC on their N4P process.[9] "N4P", as it is called, is a de facto 5 nm fabrication process[10] that offers enhancements in performance, power and density when compared to previous products in the same 5 nm family: N5, N5P and N4.[11][12][13][10]

In September 2024, TSMC started producing A16 chips in the Arizona fab using the same N4P process as the main Taiwan plant.[14]

GPU and memory

[edit]

The A16 integrates an Apple-designed five-core GPU, which is reportedly coupled with 50% more memory bandwidth when compared to the A15's GPU.[3][15] One GPU core is disabled in the iPad (11th generation), resulting in a four-core GPU for this model.

The A16's memory has been upgraded to LPDDR5 for 50% higher bandwidth and a 7% faster 16-core Neural Engine, capable of 17 trillion operations per second (TOPS). In comparison, the Neural Engine on the A15 was capable of 15.8 TOPS. All variants of the SoC come with 6 GB of memory.[3][6] Unlike previous generations of Apple's A-Series chips, the A16 utilises a vertical version of the A12X/M1 packaging instead of traditional PoP DRAM. This system is based on an epoxy glass substrate with DRAM mounted on one side, A16 SoC on the other side, and presumably via's going through the epoxy glass that connect the two. Due to the removal of PoP wires, the A16's energy consumption per DRAM read/write transaction has been slightly reduced.[16]

ISP and Display Engine

[edit]

The new image processor (ISP) found on the A16 chip improved its computational photography capabilities. It was designed to handle the higher resolution image sensor found in the iPhone 14 Pro, being capable of performing up to 4 trillion operations per photo.[3]

The Display Engine is a first on Apple A-series. It enables a better functioning "always on display" feature, and handles other tasks such as the 1 Hz refresh rate, the higher peak brightness of the display and improved anti-aliasing techniques that help smooth out rough edges in the rendering of graphics and images on device displays.[3]

Firmware

[edit]

New startup and shutdown chimes were added, only being available in accessibility.[17][16]

Products that include the Apple A16 Bionic

[edit]
  • iPhone 14 Pro & 14 Pro Max – 6-core CPU and 5-core GPU
  • iPhone 15 & 15 Plus – 6-core CPU and 5-core GPU
  • iPad (11th generation) – 5-core CPU and 4-core GPU

See also

[edit]
  • Apple Silicon, range of ARM-based processors designed by Apple for their products
  • Comparison of Armv8-A processors

References

[edit]
  1. ^ "iPhone 14 Pro Max Chip ID". iFixit. September 18, 2022. Retrieved October 18, 2022.
  2. ^ a b "llvm-project/llvm/unittests/TargetParser/TargetParserTest.cpp at main · llvm/llvm-project · GitHub". GitHub. September 10, 2024. Retrieved September 10, 2024.
  3. ^ a b c d e f g h Hristov, Victor (September 17, 2022). "A16 Bionic explained: what's new in Apple's Pro-grade mobile chip?". Phone Arena. Archived from the original on September 11, 2022. Retrieved February 20, 2024.
  4. ^ a b "The codename of the CPU core of A16 for iPhone14 Pro is revealed-posted by leaker". iPhone Wired. September 12, 2022. Archived from the original on September 13, 2022. Retrieved September 13, 2022.
  5. ^ a b Buckner, Sanjay (September 13, 2022). "Apple's A16 Bionic Gets New Cores, Now Codenamed After Mountains". News Revive. Archived from the original on September 13, 2022. Retrieved September 13, 2022.
  6. ^ a b "iPhone 14 Pro Max with A16 chipset appears on Geekbench with minimal performance improvement". GSMArena. Archived from the original on September 10, 2022. Retrieved September 11, 2022.
  7. ^ "AArch64: add support for newer Apple CPUs". github.com. Retrieved September 24, 2022.
  8. ^ "iPhone 14 Pro - Technical Specifications". Apple Support. Retrieved November 5, 2022.
  9. ^ "Apple APL1W10 A16 Bionic TSMC N4P FinFET Application Processor Digital Floorplan Analysis". TechInsights. Retrieved February 14, 2023.
  10. ^ a b Cross, Jason (January 5, 2023). "Apple's 3nm iPhone chip advantage (and why it doesn't really matter)". MacWorld. Retrieved February 23, 2023.
  11. ^ "5nm Technology". TSMC. Archived from the original on September 8, 2022. Retrieved September 10, 2022.
  12. ^ Schor, David (October 26, 2021). "TSMC Extends Its 5nm Family With A New Enhanced-Performance N4P Node". WikiChip Fuse. Archived from the original on May 29, 2022. Retrieved September 11, 2022.
  13. ^ "N3E Replaces N3; Comes In Many Flavors". WikiChip Fuse. September 4, 2022. Archived from the original on September 10, 2022. Retrieved September 11, 2022.
  14. ^ "Apple orders A16 SoC production from TSMC plant in United States". notebookcheck.net. Retrieved September 19, 2024.
  15. ^ "Apple A16 Bionic: All you need to know about the new chip". Trusted Reviews. September 7, 2022. Archived from the original on September 11, 2022. Retrieved September 11, 2022.
  16. ^ a b "iPhone 14 Proの心臓部、「A16 Bionic」を解析する". EE Times Japan (in Japanese). Retrieved February 15, 2023.
  17. ^ Rossignol, Joe (September 7, 2022). "iPhone 14 Features a Mac-Like Startup Sound While Turning on". MacRumours. Retrieved February 20, 2024.
Preceded by
Apple A15 Bionic
Apple A16 Bionic
2022
Succeeded by
Apple A17 Pro
  • v
  • t
  • e
Apple silicon
A series
Current
  • A15 Bionic
  • A16 Bionic
  • A17 Pro
  • A18 / A18 Pro
  • A19 / A19 Pro
Discontinued
  • A4
  • A5
  • A5X
  • A6
  • A6X
  • A7
  • A8
  • A8X
  • A9
  • A9X
  • A10 Fusion
  • A10X Fusion
  • A11 Bionic
  • A12 Bionic
  • A12X / A12Z Bionic
  • A13 Bionic
  • A14 Bionic
M series
Current
  • M2 Ultra
  • M3 Ultra
  • M4 / M4 Pro / M4 Max
  • M5 / M5 Pro / M5 Max
Discontinued
  • M1 / M1 Pro / M1 Max / M1 Ultra
  • M2 / M2 Pro / M2 Max
  • M3 / M3 Pro / M3 Max
S series
  • S1 / S1P
  • S2
T series
  • T2
  • v
  • t
  • e
Application ARM-based chips
  • Arm
  • ARM architecture family
  • List of ARM processors
  • List of products using ARM processors
  • ARM Cortex-A
  • ARM C-series
  • ARM Cortex-R
  • ARM Cortex-M
  • Comparison of ARM processors
Application
processors
(32-bit)
ARMv7-A
Cortex-A5
  • Actions ATM702x
  • Amlogic M805, S805, T82x
  • Atmel SAMA5D3
  • InfoTM iMAPx820, iMAPx15
  • Qualcomm Snapdragon S4 Play, 200
  • RDA RDA8810PL
  • Telechips TCC892x
Cortex-A7
  • Allwinner A2x, A3x, A83T, H3, H8
  • NXP i.MX7, QorIQ LS10xx, NXP i.MX6UL
  • Broadcom BCM2836, BCM23550
  • Leadcore LC1813, LC1860/C, LC1913, LC1960
  • Marvell Armada 1500 mini plus, PXA1920
  • MediaTek MT65xx
  • Rockchip RK3126, RK3506
  • Qualcomm Snapdragon 200, 205, 208, 210, 212, 400
  • UNISOC SC7731(E), T127
Cortex-A8
  • Allwinner A1x
  • Apple A4
  • Freescale i.MX5
  • Rockchip RK291x
  • Samsung Exynos 3110 (S5PC110), S5PV210
  • Texas Instruments OMAP 3, Sitara AM3xxx, DM38x
  • ZiiLABS ZMS-08
Cortex-A9
  • Actions ATM702x, ATM703x
  • Altera Cyclone V, Arria V/10
  • Amlogic AML8726, MX, M6x, M801, M802/S802, S812, T86x
  • Apple A5, A5X
  • Broadcom 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, Sitara AM4xxx
  • VIA WonderMedia WM88x0, 89x0
  • Xilinx Zynq-7000
  • ZiiLABS ZMS-20, ZMS-40
Cortex-A15
  • Allwinner A80
  • HiSilicon K3V3
  • MediaTek MT8135/V
  • Nvidia Tegra 4, K1
  • Renesas R-Car H2
  • Samsung Exynos 5 52xx, 54xx
  • Texas Instruments OMAP 5, DRA7xx, Sitara AM5xxx, AM57xx
Cortex-A17
  • MediaTek MT6595, MT5595
  • MStar 6A928
  • Rockchip RK3288
Others
  • Cortex-A12
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
Others
  • Cortex-A32
Application
processors
(64-bit)
ARMv8-A
Cortex-A35
  • NXP i.MX8X
  • MediaTek MT6799, MT8516
  • Rockchip RK3308
Cortex-A53
  • Actions GT7, S900, V700
  • Allwinner A133, 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, RK3528, RK3562, RK3576
  • Samsung Exynos 7570, 7578, 7580, 7870, 7880
  • Texas Instruments Sitara AM6xxx
  • UNISOC SC9820E, SC9832E, SC9860/GV, SL8541E
  • Xilinx ZynqMP
Cortex-A57
  • AMD Opteron A1100-series
  • NXP QorIQ LS20xx
  • Nvidia Tegra X1, Tegra X2
  • Qualcomm Snapdragon 808 and 810
  • Samsung Exynos 7 5433, 7420
  • HiSilicon Kirin Hi1610 and Hi1612
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, RK3576
  • NXP QorIQ LS2088, QorIQ LS1046A, QorIQ LX2160A, QorIQ LS1028A, i.MX8
Cortex-A73
  • Allwinner A333
  • Amlogic S922X
  • Qualcomm Snapdragon 460, 632, 636, 660, 662, 665, 680, 685, 6s 4G Gen 1, 6s 4G Gen 2, 835
  • Samsung Exynos 7872, 7884, 7885, 7904, 9609, 9610, 9611
  • HiSilicon Kirin 710, 960, 970
  • MediaTek MT6771/V, MT6799, MT8183, MT8788
Others
  • Cortex-A34
ARMv8-A
compatible
  • Ampere eMAG
  • Apple A7, A8, A8X, A9, A9X, A10, A10X
  • Applied Micro X-Gene
  • Cavium ThunderX
  • Nvidia Tegra K1 (Denver), Tegra X2 (Denver2)
  • Qualcomm Kryo, Falkor
  • Samsung Exynos M1 (Mongoose), M2 (Mongoose)
ARMv8.1-A
ARMv8.1-A
compatible
  • Cavium ThunderX2
ARMv8.2-A
Cortex-A55
  • Allwinner A523
  • Rockchip RK3566, RK3568, RK3582, RK3588
  • Samsung Exynos 850
  • UNISOC SC9863/A, T158, T603, T7100
Cortex-A75
  • Qualcomm Snapdragon 670, 710, 712, 845, 850
  • Samsung Exynos 9820, 9825
  • MediaTek MT6769H/T/V/Z, MT6768, MT6779V
  • UNISOC S512, S513, S562, S563, T310, T606, T610, T615, T616, T618, T619, T620, T700, T710, T7200, T7225, T7250, T7255, T7280, T740
Cortex-A76
  • ASR 8662
  • Allwinner A733
  • 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, SQ2
  • MediaTek MT6781, MT6785V, MT6789, MT6833V/P, MT6853V/T, MT6873, MT6875, MT8192, Dimensity 6020, 6080, 6100+, 6300(+), 6400 (Max)
  • Rockchip RK3582, RK3588
  • Samsung Exynos 990
  • UNISOC S713, S752, S762, S913, T750, T760, T765, T770, T820, T8100, T8200, T9100
Cortex-A77
  • MediaTek Dimensity 1000(+)
  • Qualcomm Snapdragon 690, 750G, 865(+), 870
  • HiSilicon Kirin 9000
  • Samsung Exynos 880, 980
Cortex-A78
  • Google Tensor G2
  • MediaTek MT6877, MT6878, MT6879, MT6891, MT6893, Dimensity 7020, 7025 (Ultra), 7030, 7050, 7060, 7100 (Elite), 7300 (Energy/Max/Pro/Ultimate/Ultra/X), 7360 (Turbo), 7400 (Ultimate/Ultra/X), 8000, 8020, 8050, 8100, 8200 (Ultimate/Ultra), Kompanio 900T, 1200, 1380, 1300T
  • Qualcomm Snapdragon 4 Gen 1/4, 4(s) Gen 2, 695, 6 Gen 1, 6(s) Gen 3, 6s Gen 4, 778G(+), 780G, 782G, 888(+)
  • Samsung Exynos 1080, 1280, 1330, 1380, 1480, 2100
  • UNISOC S715, T7300, T8300
Cortex-X1
  • Google Tensor, Tensor G2
  • Qualcomm Snapdragon 888(+)
  • Samsung Exynos 2100
Neoverse N1
  • Ampere Altra, Altra Max
  • AWS Graviton2
Others
  • Cortex-A65, Cortex-A65AE, Cortex-A76AE, Cortex-A78C, Cortex-X1C, Neoverse E1
ARMv8.2-A
compatible
  • Apple A11
  • Fujitsu A64FX
  • HiSilicon TaiShan v110
  • Nvidia Tegra Xavier (Carmel)
  • Samsung Exynos M3 (Meerkat), M4 (Cheetah), M5 (Lion)
ARMv8.3-A
ARMv8.3-A
compatible
  • Apple A12, A12X/A12Z, S4, S5
  • Marvell ThunderX3
ARMv8.4-A
Neoverse V1
  • AWS Graviton3
ARMv8.4-A
compatible
  • Apple A13, S6, S7, S8
ARMv8.5-A
ARMv8.5-A
compatible
  • Apple A14, M1
ARMv8.6-A
ARMv8.6-A
compatible
  • Ampere Computing AmpereOne, AmpereOne M
  • Apple A15, A16, A17, M2, M3
ARMv8.7-A
ARMv8.7-A
compatible
  • Qualcomm Oryon
ARMv9.0-A
Cortex-A510
  • Google Tensor G3
  • MediaTek Dimensity 7200 (Pro/Ultra), 7350 Pro, 8300 (Ultra), 8350 (Apex/Elite/Extreme/Ultimate), 9000(+), 9200
  • Qualcomm Snapdragon 7 Gen 1/3, 7s/7+ Gen 2, 8(+) Gen 1, 8 Gen 2
  • Samsung Exynos 2200
Cortex-A710
  • MediaTek Dimensity 9000/9000+
  • Qualcomm Snapdragon 7 Gen 1/3, 7s/7+ Gen 2, 8(+) Gen 1, 8 Gen 2
  • Samsung Exynos 2200
Cortex-A715
  • Google Tensor G3
  • MediaTek Dimensity 7200 (Pro/Ultra), 7350 Pro, 8300 (Ultra), 8350 (Apex/Elite/Extreme/Ultimate), 9200
  • Qualcomm Snapdragon 7 Gen 3, 8 Gen 2
Cortex-X2
  • MediaTek Dimensity 9000/9000+
  • Qualcomm Snapdragon 7s/7+ Gen 2, 8(+) Gen 1
  • Samsung Exynos 2200
Cortex-X3
  • Google Tensor G3
  • MediaTek Dimensity 9200(+)
  • Qualcomm Snapdragon 8 Gen 2
Neoverse N2
  • Alibaba YiTian 710
  • Microsoft Azure Cobalt 100
Neoverse V2
  • AWS Graviton4
  • Google Axion
  • Nvidia Grace
ARMv9.2-A
Cortex-A520
  • Google Tensor G4, G5
  • Qualcomm Snapdragon 6 Gen 4, 7s/7+ Gen 3, 7(s) Gen 4, 8(s) Gen 3
  • Samsung Exynos 1580, 2400(e), 2500
  • Xiaomi Xring O1
Cortex-A720
  • Google Tensor G4
  • MediaTek Dimensity 9300(+), 9400e, 9500s
  • Qualcomm Snapdragon 6 Gen 4, 7s/7+ Gen 3, 7(s) Gen4, 8(s) Gen 3, 8s Gen 4
  • Samsung Exynos 1580, 2400(e)
Cortex-A725
  • Google Tensor G5
  • MediaTek Dimensity 8400 (Ultra), 8450, 8500 (Elite)
  • Samsung Exynos 2500
  • Xiaomi Xring O1
Cortex-X4
  • Google Tensor G4, G5
  • MediaTek Dimensity 9300(+), Dimensity 9400(+,e), 9500s
  • Qualcomm Snapdragon 7+ Gen 3, 8(s) Gen 3, 8s Gen 4
  • Samsung Exynos 2400(e)
Cortex-X925
  • MediaTek Dimensity 9400(+), 9500s
  • Nvidia GB10 Superchip
  • Samsung Exynos 2500
  • Xiaomi Xring O1
Neoverse N3
-
Neoverse V3
  • AWS Graviton5
  • Microsoft Azure Cobalt 200
  • Nvidia Thor (V3AE)
ARMv9.2-A
compatible
  • Apple A18
  • Apple M4
ARMv9.3-A
C1-Ultra
  • MediaTek Dimensity 9500
  • Samsung Exynos 2600
C1-Premium
  • MediaTek Dimensity 9500
C1-Pro
  • MediaTek Dimensity 9500
  • Samsung Exynos 2600
C1-Nano
TBD
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Pusat Layanan

UNIVERSITAS TEKNOKRAT INDONESIA | ASEAN's Best Private University
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Phone: (0721) 702022
Email: pmb@teknokrat.ac.id