Apple A15 Bionic
General information

Launched	September 14, 2021
Designed by	Apple Inc.
Common manufacturer	TSMC
Product code	APL1W07^[1]
Max. CPU clock rate	to 3.23 GHz^[2] (2.93 GHz in iPad Mini 6)^[3]
Cache
L2 cache	12 MB (performance cores) 4 MB (efficient cores)
Last level cache	32 MB (system cache)
Architecture and classification
Application	Mobile
Technology node	5 nm (N5P)
Microarchitecture	"Avalanche" and "Blizzard"
Instruction set	ARMv8.6-A^[4]
Physical specifications
Transistors	15 billion
Cores	6 (4 efficiency, 2 performance)
GPU	Apple-designed 4- or 5- core GPU
Products, models, variants
Variant	Apple M2^[5]
History
Predecessor	Apple A14
Successor	Apple A16

The Apple A15 Bionic is a 64-bit ARM-based system on a chip (SoC) designed by Apple Inc., part of the Apple silicon series. It is used in the iPhone 13 and 13 Mini, iPhone 13 Pro and 13 Pro Max, iPad Mini (6th generation), iPhone SE (3rd generation), iPhone 14 and 14 Plus and Apple TV 4K (3rd generation).^[6]

Design

[edit]

The Apple A15 Bionic features an Apple-designed 64-bit six-core CPU implementing ARMv8 with two high-performance cores called Avalanche running at 3.24 GHz and four energy-efficient cores called Blizzard running at 2.01 GHz. Apple claims the A15 in the iPhones is 50% faster than the competition. Apple claims the A15 in the iPad Mini 6 is 40% faster than the A12.^[7] An in-depth breakdown by Anandtech revealed that "compared to the A14, the new A15 increases the peak single-core frequency of the two-performance core cluster by 8%, now reaching up to 3240MHz compared to the 2998MHz of the previous generation. When both performance cores are active, their operating frequency goes up by 10%, both now running at 3180MHz compared to the previous generation’s 2890MHz".^[8]^[9]

The A15 contains 15 billion transistors, a 27.1% increase from the A14's transistor count of 11.8 billion. It includes dedicated neural network hardware that Apple calls a new 16-core Neural Engine.^[10] The Neural Engine can perform 15.8 trillion operations per second, faster than A14's 11 trillion operations per second (+ 43%).^[10] The A15 also includes a new image processor (ISP) with improved computational photography capabilities.^[11] Apple also boosted performance by doubling the system cache to 32MB.^[12]

The A15 has video codec encoding support for HEVC, H.264, and ProRes (iPhone 13 Pro only). It has decoding support for HEVC, H.264, MPEG‑4 Part 2, ProRes, and Motion JPEG.^[13]

A15 is manufactured by TSMC, reportedly on their second-generation 5 nm fabrication process, N5P.^[14]^[15]

GPU

[edit]

The A15 integrates an Apple-designed five-core GPU for the iPad mini (6th generation), iPhone 13 Pro and 13 Pro Max, iPhone 14 and 14 Plus and Apple TV 4K (3rd generation), though in the Apple TV variant one efficiency CPU core is disabled.^[16] One GPU core is disabled in the iPhone SE (3rd generation), and iPhone 13 and 13 Mini, resulting in a four-core GPU for these models.^[17]

Products

[edit]

Products that include the Apple A15 Bionic are:

iPhone 14 & 14 Plus – 6-core CPU and 5-core GPU
iPhone 13 & 13 Mini – 6-core CPU and 4-core GPU
iPhone 13 Pro & 13 Pro Max – 6-core CPU and 5-core GPU
iPhone SE (3rd generation) – 6-core CPU and 4-core GPU
iPad mini (6th generation) – 5-core GPU; CPU underclocked to 2.92 GHz from 3.23 GHz^[3]
Apple TV 4K (3rd generation) – 5-core GPU and 5-core CPU (Binned A15 with 1 efficiency CPU core disabled) ^[18]

Variants

[edit]

The table below shows the various SoCs based on the "Avalanche" and "Blizzard" microarchitectures.^[19]

Variant	CPU cores (P+E)*	GPU cores	GPU EU	Graphics ALU	Neural Engine cores	Neural Engine performance	Memory (GB)	Transistor count
A15 Bionic	5 (2+3)	5	80	640	16	15.8 TOPS	4	15 billion
	6 (2+4)	4	64	512	16		4
	6 (2+4)	5	80	640	16		6
M2	8 (4+4)	8	128	1024	16		8–24	20 billion
M2	8 (4+4)	10	160	1280	16		8–24	20 billion
M2 Pro	10 (6+4)	16	256	2048	16		16–32	40 billion
	12 (8+4)	16	256	2048
	12 (8+4)	19	304	2432	16
M2 Max	12 (8+4)	30	480	3840	16		32–96	67 billion
M2 Max	12 (8+4)	38	608	4864	16		32–96	67 billion
M2 Ultra	24 (16+8)	60	960	7680	32	31.6 TOPS	64–192	134 billion
M2 Ultra	24 (16+8)	76	1216	9728	32	31.6 TOPS	64–192	134 billion

* (Performance + Power efficiency)

References

[edit]

^ "What's inside the Apple iPhone 13 Pro Teardown?". Archived from the original on 2021-09-25. Retrieved 2021-09-25.
^ "IPhone 13 Pro Geekbench Score Reveals A15 Bionic Frequency Upgrade; CPU/GPU Again Tops | SPARROWS NEWS". 16 September 2021. Archived from the original on 22 September 2022. Retrieved 16 September 2021.
^ ^a ^b "Underclocked: The A15 chip inside Apple's new iPad mini 6 is slower than in the iPhone 13". 16 September 2021. Archived from the original on 2021-09-17. Retrieved 2021-09-17.
^ "llvm-project/llvm/include/llvm/TargetParser/AArch64TargetParser.h at main · llvm/llvm-project · GitHub". GitHub. 30 November 2023. Retrieved 30 November 2023.
^ "Apple unveils M2, taking the breakthrough performance and capabilities of M1 even further". Archived from the original on 2022-06-06. Retrieved 2024-05-19.
^ "Apple A15 Bionic Powers iPhone 13 and iPad Mini". Tom's Hardware. September 14, 2021. Archived from the original on September 22, 2022. Retrieved September 14, 2021.
^ Frumusanu, Andrei (September 14, 2021). "Apple Announces iPhone 13 Series: A15, New Cameras, New Screens". AnandTech. Archived from the original on May 14, 2022. Retrieved September 15, 2021.
^ "Apple's A15 Bionic announcements undersells improvements over A14". AppleInsider. 5 October 2021. Archived from the original on 2022-01-29. Retrieved 2022-01-29.
^ Frumusanu, Andrei. "The Apple A15 SoC Performance Review: Faster & More Efficient". www.anandtech.com. Archived from the original on 2022-07-30. Retrieved 2022-01-29.
^ ^a ^b Shankland, Stephen (September 14, 2021). "Apple's A15 Bionic chip powers iPhone 13 with 15 billion transistors, new graphics and AI". CNET. Archived from the original on April 2, 2022. Retrieved September 15, 2021.
^ "Apple unveils iPhone 13 Pro and iPhone 13 Pro Max — more pro than ever before". Apple Newsroom. Archived from the original on 2021-09-15. Retrieved 2021-09-14.
^ "Apple unveils new a15 bionic soc". ExtremeTech. Archived from the original on 2022-04-21. Retrieved 2021-09-16.
^ "iPhone 13 – Technical Specifications". support.apple.com. Archived from the original on 2021-10-27. Retrieved 2021-10-24.
^ Hruska, Joel (September 15, 2021). "Apple Unveils New A15 Bionic SoC". ExtremeTech. Archived from the original on April 21, 2022. Retrieved September 15, 2021.
^ Sohail, Omar (March 30, 2021). "Apple's A15 Bionic to Use TSMC's 'N5P' Process for the Upcoming iPhone 13 Series; Mass Production Could Start in May". Wccftech. Archived from the original on September 16, 2021. Retrieved September 15, 2021.
^ Rossignol, Joe (2022-11-14). "New Apple TV Reportedly Equipped With Binned A15 Chip With 5-Core CPU". macrumors.com. Retrieved 2024-08-18.
^ Espósito, Filipe (2021-09-15). "iPhone 13 Pro's A15 Bionic chip has more powerful GPU than regular iPhone 13". 9to5Mac. Archived from the original on 2021-09-15. Retrieved 2021-09-15.
^ "Developing tvOS apps". Apple.
^ "Apple M2 Chip: Everything You Need to Know". MacRumors. Retrieved 2022-07-30.

Preceded byApple A14 Bionic Apple A15 Bionic 2021 Succeeded byApple A16 Bionic

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Cortex-A5	Actions ATM702x Amlogic M805/S805, T82x Atmel SAMA5D3 InfoTM iMAPx820, iMAPx15 Qualcomm Snapdragon S4 Play, 200 RDA RDA8810PL Telechips TCC892x
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Cortex-A17	MediaTek MT6595, MT5595 MStar 6A928 Rockchip RK3288
Others	Cortex-A12
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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 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, 430, 435, 429, 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	AMD Opteron A1100-series NXP QorIQ LS20xx Nvidia Tegra X1 and 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 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	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	Samsung Exynos 850 UNISOC SC9863/A, T603
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, 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(+) and 860, 7c, 7c Gen 2, 8c, 8cx and 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	MediaTek Dimensity 1000(+) Qualcomm Snapdragon 690, 750G, 865(+) and 870 HiSilicon Kirin 9000 Samsung Exynos 880, 980
Cortex-A78	Google Tensor G2 MediaTek MT6877, MT6878, MT6879, MT6891, MT6893, Dimensity 7020, 7025, 7030, 7050, 7300(X), 8000, 8020, 8050, 8100, 8200, Kompanio 900T, 1200, 1380, 1300T Qualcomm Snapdragon 4 Gen 1, 4 Gen 2, 695, 6 Gen 1, 6s Gen 3, 778G(+), 780G, 782G, 888(+) Samsung Exynos 1080, 1280, 1330, 1380, 2100
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	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), 8300 (Ultra), 9000/9000+, 9200 Qualcomm Snapdragon 7 Gen 1, 7s/7+ Gen 2, 7 Gen 3, 8(+) Gen 1, 8 Gen 2 Samsung Exynos 2200
Cortex-A710	MediaTek Dimensity 9000/9000+ Qualcomm Snapdragon 7 Gen 1, 7s/7+ Gen 2, 8(+) Gen 1, 8 Gen 2 Samsung Exynos 2200
Cortex-A715	Google Tensor G3 MediaTek Dimensity 7200 (Pro/Ultra), 8300 (Ultra), 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 9200/9200+ 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 Qualcomm Snapdragon 7+ Gen 3, Snapdragon 8(s) Gen 3 Samsung Exynos 2400
Cortex-A720	Google Tensor G4 MediaTek Dimensity 9300(+) Qualcomm Snapdragon 7+ Gen 3, Snapdragon 8(s) Gen 3 Samsung Exynos 2400
Cortex-X4	Google Tensor G4 MediaTek Dimensity 9300(+) Qualcomm Snapdragon 7+ Gen 3, Snapdragon 8(s) Gen 3 Samsung Exynos 2400
Neoverse N3	-
Neoverse V3	-
ARMv9.2-A compatible	Apple M4

Design

GPU

Products

Variants

See also

References