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  2. Apple A18 - Wikipedia
Apple A18 - Wikipedia
From Wikipedia, the free encyclopedia
System-on-a-chip designed by Apple Inc

Apple A18 series
General information
LaunchedSeptember 9, 2024 (2024-09-09)
Designed byApple Inc.
Common manufacturer
  • TSMC
Product codeA18: Tupai
A18 Pro: Tahiti
Max. CPU clock rateto 4.04[1] GHz
Physical specifications
Transistors
  • A18: 15.2 billion
    A18 Pro: 20 billion
Cores
  • 6 cores (2 performance @4.04 GHz + 4 efficiency @2.42 GHz)
Memory (RAM)
  • 8 GB[2][3]
GPUs
A18
  • 4-core (iPhone 16e)
  • 5-core (iPhone 16, iPhone 16 Plus)
A18 Pro
  • 5-core: (MacBook Neo)
  • 6-core: (iPhone 16 Pro, iPhone 16 Pro Max)
Co-processorNPU: 35 TOPS
Cache
L2 cacheA18: 8 MB (performance cores)
A18 Pro: 16 MB (performance cores)
4 MB (efficiency cores)
Last level cacheA18: 12 MB (system level cache)
A18 Pro: 24 MB (system level cache)
Architecture and classification
ApplicationMobile
A18
  • iPhone 16
  • iPhone 16 Plus
  • iPhone 16e
A18 Pro
  • iPhone 16 Pro
  • iPhone 16 Pro Max
  • MacBook Neo
Technology node3 nm (TSMC N3E)
Instruction setARMv9.2-A[4]
History
PredecessorsApple A17 Pro (iPhone 15 Pro, iPhone 15 Pro Max)
Apple A16 Bionic (iPhone 15, iPhone 15 Plus)
Apple A15 Bionic (iPhone SE (3rd generation))
SuccessorsApple A19 (iPhone 17, iPhone 17e)
Apple A19 Pro (iPhone Air, iPhone 17 Pro, iPhone 17 Pro Max)

The Apple A18 and Apple A18 Pro are a pair of 64-bit ARM-based system on a chip (SoC) designed by Apple Inc., part of the Apple silicon series. They are used in the iPhone 16, iPhone 16 Pro, iPhone 16e, and MacBook Neo, built on a second generation 3 nm process by TSMC. Announced on September 9, 2024 and February 19, 2025, they are the successors to the Apple A15 Bionic (exclusively on the entry-level iPhone models with 4-core GPU), Apple A16 Bionic (exclusively on the standard iPhone models with 5-core GPU) and the Apple A17 Pro (exclusively on the premium iPhone models with 6-core GPU) processors, respectively.[5]

Design

[edit]

The Apple A18 and A18 Pro feature an Apple-designed 64-bit ARMv9.2-A six-core CPU with two high-performance cores @4.04 GHz and four energy-efficient cores @2.42 GHz, a four to six-core GPU, and a NPU with 16 cores. Both are produced on TSMC N3E (3nm FinFET) and measure 90 mm2 and 105 mm2 respectively.[6]

CPU

[edit]

Apple claims the A18 chip is up to 30% faster in CPU performance compared to iPhone 15 with the A16 Bionic chip and 50% compared to the iPhone 14 with the A15 Bionic chip. Also, it can deliver the same CPU performance of the A16 Bionic chip while consuming 30% less power.[7][8]

The A18 Pro is up to 15% faster in CPU performance than the A17 Pro chip, and it can deliver the same CPU performance of A17 Pro chip while consuming 20% less power. Apple claims the A18 Pro chip has larger caches than the A18

GPU

[edit]

The A18 chip integrates a new Apple-designed four or five-core GPU, now adding hardware accelerated ray tracing and mesh shading support to the non-Pro lineup. Apple claims the new A18 chip is up to 40% faster in GPU performance compared to iPhone 15 with the A16 Bionic chip, and it can deliver the same GPU performance of the A16 Bionic chip while consuming 35% less power.[8]

The A18 Pro features an additional GPU core, bringing its total to six cores, and delivers 20% faster performance than the A17 Pro GPU. Apple claims it offers 2x faster hardware ray tracing, though it's unclear if this is exclusive to the A18 Pro or available on the non-Pro variant as well.[8]

Additional aspects

[edit]

The A18 Pro distinguishes itself from the non-Pro variant with advanced media features, including improved display engines, faster USB controllers, and upgraded video and image signal processors. Apple claims that the new video encoder processes 2 times more data than the A17 Pro chip.[8] The A18 has a legacy USB 2.0 controller capable of only 480 Mbit/s through the USB-C port. The A18 Pro has a USB 3.2 Gen 2 controller capable of 10 Gb/s.

NPU and AI processing

[edit]

Apple claims that the 16-core Neural Engine is capable of 35 trillion operations per second, with 2× faster machine learning compared to the A16 Bionic chip. The A18 Pro, compared to the A17 Pro, can run Apple Intelligence features up to 15% faster. As shown on benchmarks, all chips in the A18 series have 8 GB of RAM, and both chips have 17% more memory bandwidth.[7][8][9]

The A18's NPU delivers 35 TOPS, making it approximately 58 times more powerful than the NPU in the A11, which could handle 600 billion operations per second. The A11, introduced in 2017, was the first Apple chip to feature a Neural Engine.[10]

Neural processing comparison between chip generations

[edit]
Chip TOPS Released Processing power compared to the A18
A11 Bionic 0.6 2017 1.71%
A12 Bionic 5.0 2018 14.29%
A13 Bionic 6.0 2019 17.14%
A14 Bionic 11.0 2020 31.43%
A15 Bionic 15.8 2021 45.14%
A16 Bionic 17.0 2022 48.57%
A17 Pro 35.0 2023 100.00%
A18 35.0* 2024 100.00%*

*Although the A18 is theoretically capable of the same number of operations per second as the A17 Pro, real world performances may be superior due to improvements on other parts of the SoC, such as the larger memory bandwidth. Apple claims that the A18 Pro is 15% faster on Apple Intelligence tasks compared to the A17 Pro.[8]

Products that include the A18 series

[edit]

A18

[edit]
  • iPhone 16 & iPhone 16 Plus – 6-core CPU and 5-core GPU
  • iPhone 16e – 6-core CPU and 4-core GPU

A18 Pro

[edit]
  • iPhone 16 Pro & iPhone 16 Pro Max – 6-core CPU and 6-core GPU
  • MacBook Neo – 6-core CPU and 5-core GPU

See also

[edit]
  • Apple Intelligence
  • Apple M4 series

References

[edit]
  1. ^ "IPhone17,2 - Geekbench".
  2. ^ "All iPhone 16 Models Equipped with 8GB of RAM for Apple Intelligence". September 9, 2024.
  3. ^ Petrov, Daniel (September 12, 2024). "iPhone 16 is the fastest cheap iPhone ever thanks to AI". PhoneArena. Retrieved September 14, 2024.
  4. ^ https://www.ft.com/content/85f3efa0-c30d-4eaa-9a4d-5bd6c5243e9f
  5. ^ Hill, Brandon; Freedman, Andrew E. (September 9, 2024). "Apple's A18 and A18 Pro processors powers the iPhone 16 and 16 Pro — and Apple Intelligence". Tom's Hardware. Retrieved September 15, 2024.
  6. ^ "A18/A18 Pro die shots size revelated".
  7. ^ a b Mayo, Benjamin (September 9, 2024). "iPhone 16 is powered by A18 chip, up to 30% faster than iPhone 15". 9to5Mac. Retrieved September 9, 2024.
  8. ^ a b c d e f Apple (September 9, 2024). Apple Event - September 9. Retrieved September 14, 2024 – via YouTube.
  9. ^ Petrov, Daniel (September 12, 2024). "iPhone 16 is the fastest cheap iPhone ever thanks to AI". PhoneArena. Retrieved September 14, 2024.
  10. ^ Banerjee, Debrath. "A Microarchitectural Study on Apple's A11 Bionic Processor". ResearchGate. Retrieved September 15, 2024.
  • 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