Apple A16 Bionic Benchmark, Test and specs

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The Apple A16 Bionic has 6 CPU cores and can process 6 threads at the same time. The processor was presented in Q3/2022 and is based on the 16. Generation of the Apple A series series. In the Geekbench 5 benchmark, the Apple A16 Bionic achieved a result of 1,890 points (single-core) or 5,465 points (multi-core).
Apple A16 Bionic

At a glance

Name: Apple A16 Bionic
Family: Apple A series (22)
CPU group: Apple A16 (1)
Architecture: A16
Technology: 4 nm
Segment: Mobile
Generation: 16
Predecessor: Apple A15 Bionic (5-GPU)
Successor: Apple A17 Pro

CPU Cores and Base Frequency

The Apple A16 Bionic has 6 cores. The clock frequency of the Apple A16 Bionic is 3.46 GHz. An initial performance assessment can be made using the number of CPU cores.

CPU Cores / Threads: 6 / 6
Core architecture: hybrid (big.LITTLE)
A-Core: 2x Everest
B-Core: 4x Sawtooth
Hyperthreading / SMT: No
Overclocking: No
A-Core Frequency: 3.46 GHz
B-Core Frequency: 2.02 GHz

NPU AI performance

The performance values of the processor's AI unit. The isolated NPU performance is specified here, the total AI performance (NPU+CPU+iGPU) can be higher. Processors with support for artificial intelligence (AI) and machine learning (ML) can process many calculations, especially audio, image and video processing, much faster than classic processors.

AI hardware: Apple Neural Engine
AI specifications: 16 Neural cores @ 17 TOPS
NPU + CPU + iGPU: --

Integrated graphics (iGPU)

The Apple A16 Bionic has an integrated graphics that the system can use to efficiently play back videos. The Apple A16 Bionic has the Apple A16 (5 GPU Cores) installed, which has 20 streaming multiprocessors (640 shaders).

GPU name: Apple A16 (5 GPU Cores)
GPU frequency: 1.34 GHz
GPU (Turbo): No turbo
Compute units: 20
Shader: 640
Hardware Raytracing: No
Release date: Q3/2022
Max. displays: 3
Generation: 13
Direct X: --
Technology: 4 nm
Max. GPU Memory: 6 GB
Frame Generation: No

Hardware codec support

Processors with integrated graphics can process video codecs faster. Support for modern codecs can significantly increase system efficiency during video playback.

h265 / HEVC (8 bit): Decode / Encode
h265 / HEVC (10 bit): Decode / Encode
h264: Decode / Encode
VP8: Decode / Encode
VP9: Decode / Encode
AV1: No
AVC: Decode
VC-1: Decode
JPEG: Decode / Encode

Memory & PCIe

The Apple A16 Bionic supports a maximum of 6 GB memory. Depending on the mainboard, the processor can use a maximum of 1 (Single Channel) memory channels. This results in a maximum bandwidth of the main memory of 51.2 GB/s.

Memory type: Memory bandwidth:
LPDDR5-6400
51.2 GB/s
Max. Memory: 6 GB
Memory channels: 1 (Single Channel)
ECC: No
PCIe:
PCIe Bandwidth: --

Thermal Management

The Apple A16 Bionic has a TDP of 7.25 W. Based on the TDP, the system manufacturer can and must adapt the cooling solution to the processor.

TDP (PL1 / PBP): 7.25 W
TDP (PL2): --
TDP up: --
TDP down: --
Tjunction max.: --

Technical details

Modern production reduces the waste heat of a processor and increases its efficiency. The Apple A16 Bionic is made in 4 nm and has 44.00 MB cache.

Technology: 4 nm
Chip design: Chiplet
Socket: --
L2-Cache: 20.00 MB
L3-Cache: 24.00 MB
AES-NI: No
Operating systems: iOS
Virtualization: None
Instruction set (ISA): Armv8.6-A (64 bit)
ISA extensions: --
Release date: Q3/2022
Release price: --
Part Number: --
Documents: --

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Benchmark results

Verified Benchmark results
The benchmark results for the Apple A16 Bionic have been carefully checked by us. We only publish benchmark results that have been created by us or that have been submitted by a visitor and then checked by a team member. All results are based on and fullfill our benchmark guidelines.

Screenshots:

Geekbench 5, 64bit (Single-Core)

Geekbench 5 is a cross plattform benchmark that heavily uses the systems memory. A fast memory will push the result a lot. The single-core test only uses one CPU core, the amount of cores or hyperthreading ability doesn't count.
Intel Core i7-13700H Intel Core i7-13700H
14C 20T @ 5.00 GHz
1893
Intel Core i7-13705H Intel Core i7-13705H
14C 20T @ 5.00 GHz
1893
Intel Core i7-13800HE Intel Core i7-13800HE
14C 20T @ 5.00 GHz
1893
Apple A16 Bionic Apple A16 Bionic
6C 6T @ 3.46 GHz
1890
Intel Core i7-13700HX Intel Core i7-13700HX
16C 24T @ 5.00 GHz
1889
Intel Core i9-12900T Intel Core i9-12900T
16C 24T @ 4.90 GHz
1878
Intel Core i7-11700B Intel Core i7-11700B
8C 16T @ 5.30 GHz
1878

Geekbench 5, 64bit (Multi-Core)

Geekbench 5 is a cross plattform benchmark that heavily uses the systems memory. A fast memory will push the result a lot. The multi-core test involves all CPU cores and taks a big advantage of hyperthreading.
Intel Xeon E5-1660 v2 Intel Xeon E5-1660 v2
6C 12T @ 3.80 GHz
5503
Intel Xeon E5-2618L v3 Intel Xeon E5-2618L v3
8C 16T @ 2.90 GHz
5485
Intel Xeon Silver 4110 Intel Xeon Silver 4110
8C 16T @ 2.60 GHz
5483
Apple A16 Bionic Apple A16 Bionic
6C 6T @ 3.46 GHz
5465
Intel Core i7-9700T Intel Core i7-9700T
8C 8T @ 3.20 GHz
5465
Intel Core i7-9850HE Intel Core i7-9850HE
6C 12T @ 2.70 GHz
5446
AMD Ryzen 5 5600U AMD Ryzen 5 5600U
6C 12T @ 3.60 GHz
5437

Geekbench 6 (Single-Core)

Geekbench 6 is a benchmark for modern computers, notebooks and smartphones. What is new is an optimized utilization of newer CPU architectures, e.g. based on the big.LITTLE concept and combining CPU cores of different sizes. The single-core benchmark only evaluates the performance of the fastest CPU core, the number of CPU cores in a processor is irrelevant here.
Intel Core i7-13700T Intel Core i7-13700T
16C 24T @ 4.90 GHz
2537
Intel Core i7-1370P Intel Core i7-1370P
14C 20T @ 5.20 GHz
2536
Intel Core i7-13700HX Intel Core i7-13700HX
16C 24T @ 5.00 GHz
2534
Apple A16 Bionic Apple A16 Bionic
6C 6T @ 3.46 GHz
2531
Intel Core i7-13700H Intel Core i7-13700H
14C 20T @ 5.00 GHz
2531
Intel Core i7-13705H Intel Core i7-13705H
14C 20T @ 5.00 GHz
2531
Intel Core i9-13905H Intel Core i9-13905H
14C 20T @ 5.40 GHz
2528

Geekbench 6 (Multi-Core)

Geekbench 6 is a benchmark for modern computers, notebooks and smartphones. What is new is an optimized utilization of newer CPU architectures, e.g. based on the big.LITTLE concept and combining CPU cores of different sizes. The multi-core benchmark evaluates the performance of all of the processor's CPU cores. Virtual thread improvements such as AMD SMT or Intel's Hyper-Threading have a positive impact on the benchmark result.
Intel Core i5-10400F Intel Core i5-10400F
6C 12T @ 4.00 GHz
6322
Intel Core i9-9900T Intel Core i9-9900T
8C 16T @ 3.60 GHz
6315
Intel Core i5-11500T Intel Core i5-11500T
6C 12T @ 3.30 GHz
6306
Apple A16 Bionic Apple A16 Bionic
6C 6T @ 3.46 GHz
6299
Intel Core i7-1250U Intel Core i7-1250U
10C 12T @ 2.50 GHz
6296
Intel Core i7-1260U Intel Core i7-1260U
10C 12T @ 2.10 GHz
6296
Intel Xeon E-2276M Intel Xeon E-2276M
6C 12T @ 2.80 GHz
6288

iGPU - FP32 Performance (Single-precision GFLOPS)

The theoretical computing performance of the internal graphics unit of the processor with simple accuracy (32 bit) in GFLOPS. GFLOPS indicates how many billion floating point operations the iGPU can perform per second.
AMD Ryzen 7 3700U AMD Ryzen 7 3700U
AMD Radeon RX Vega 10 (Raven Ridge) @ 1.40 GHz
1792
AMD Ryzen 7 3750H AMD Ryzen 7 3750H
AMD Radeon RX Vega 10 (Raven Ridge) @ 1.40 GHz
1792
AMD Ryzen 7 PRO 3700U AMD Ryzen 7 PRO 3700U
AMD Radeon RX Vega 10 (Raven Ridge) @ 1.40 GHz
1792
Apple A16 Bionic Apple A16 Bionic
Apple A16 (5 GPU Cores) @ 1.34 GHz
1789
Intel Core Ultra 7 164U Intel Core Ultra 7 164U
Intel Iris Xe 4 Core Graphics 64 EUs (Meteor Lake) @ 1.80 GHz
1785
Qualcomm Snapdragon 7+ Gen 2 Qualcomm Snapdragon 7+ Gen 2
Qualcomm Adreno 725 @ 0.58 GHz
1782
AMD Ryzen 5 2400GE AMD Ryzen 5 2400GE
AMD Radeon RX Vega 11 (Raven Ridge) @ 1.25 GHz
1760

AnTuTu 10 Benchmark

The AnTuTu 10 benchmark is one of the best-known benchmarks for mobile processors, which is now available in version 10. There is a version for Android-based smartphones and tablets, as well as a version for Apple mobile devices, i.e. iPhones and iPads.

The Antutu 10 benchmark has 3 phases. In the first phase, the device's RAM is tested, in phase 2 the graphics are tested and in the final phase the entire device is pushed to its performance limits by rendering 3D graphics.

Antutu 10 is therefore ideal for comparing the performance of different devices.
Qualcomm Snapdragon 8 Gen 2 Qualcomm Snapdragon 8 Gen 2
8C 8T @ 3.36 GHz
1628500
Apple A17 Pro Apple A17 Pro
6C 6T @ 3.78 GHz
1488440
MediaTek Dimensity 8300 MediaTek Dimensity 8300
8C 8T @ 3.35 GHz
1468250
Apple A16 Bionic Apple A16 Bionic
6C 6T @ 3.46 GHz
1394590
Samsung Exynos 2200 Samsung Exynos 2200
8C 8T @ 2.80 GHz
1128320
Google Tensor G3 Google Tensor G3
8C 8T @ 2.91 GHz
1106280
Qualcomm Snapdragon 7 Gen 3 Qualcomm Snapdragon 7 Gen 3
8C 8T @ 2.63 GHz
769286

AnTuTu 9 Benchmark

The AnTuTu 9 benchmark is very well suited to measuring the performance of a smartphone. AnTuTu 9 is quite heavy on 3D graphics and can now also use the "Metal" graphics interface. In AnTuTu, memory and UX (user experience) are also tested by simulating browser and app usage. AnTuTu version 9 can compare any ARM CPU running on Android or iOS. Devices may not be directly comparable when benchmarked on different operating systems.

In the AnTuTu 9 benchmark, the single-core performance of a processor is only slightly weighted. The rating is made up of the multi-core performance of the processor, the speed of the working memory, and the performance of the internal graphics.
MediaTek Dimensity 9000 MediaTek Dimensity 9000
8C 8T @ 3.05 GHz
1014250
Qualcomm Snapdragon 7+ Gen 2 Qualcomm Snapdragon 7+ Gen 2
8C 8T @ 2.91 GHz
1010270
Qualcomm Snapdragon 8 Gen 1 Qualcomm Snapdragon 8 Gen 1
8C 8T @ 3.00 GHz
948574
Apple A16 Bionic Apple A16 Bionic
6C 6T @ 3.46 GHz
947502
Samsung Exynos 2200 Samsung Exynos 2200
8C 8T @ 2.80 GHz
917364
Google Tensor G3 Google Tensor G3
8C 8T @ 2.91 GHz
894587
Qualcomm Snapdragon 888+ Qualcomm Snapdragon 888+
8C 8T @ 3.00 GHz
825450

AI performance (NPU)

The performance values of the processor's AI unit. The isolated NPU performance is given here, the total AI performance (NPU+CPU+iGPU) can be higher.

Processors with the support of artificial intelligence (AI) and machine learning (ML) can process many calculations, especially audio, image and video processing, much faster than classic processors. The performance is given in the number (trillions) of arithmetic operations per second (TOPS).
Qualcomm Snapdragon 888 Qualcomm Snapdragon 888
8C 8T @ 2.84 GHz
26
Apple M1 Ultra (48-GPU) Apple M1 Ultra (48-GPU)
20C 20T @ 0.60 GHz
22
Apple M1 Ultra (64-GPU) Apple M1 Ultra (64-GPU)
20C 20T @ 0.60 GHz
22
Apple A16 Bionic Apple A16 Bionic
6C 6T @ 3.46 GHz
17
AMD Ryzen 7 PRO 8840U AMD Ryzen 7 PRO 8840U
8C 16T @ 3.30 GHz
16
AMD Ryzen 5 PRO 8640HS AMD Ryzen 5 PRO 8640HS
6C 12T @ 3.50 GHz
16
AMD Ryzen 5 PRO 8645HS AMD Ryzen 5 PRO 8645HS
6C 12T @ 4.30 GHz
16

Benchmarks


News and articles for the Apple A16 Bionic


Description of the processor

The Apple A16 Bionic was introduced at the Apple Keynote in September 2022, where it was used in the Apple iPhone Pro 14. The processor is manufactured using the 4-nanometer process and is based on a hybrid big.LITTLE architecture, with the 6 processor cores being divided into 2 high-performance cores and 4 efficient cores. The high-performance cores clock at 3.46 gigahertz and the efficiency cores at 2.02 gigahertz. Compared to the predecessor, the Apple A15 Bionic with 5 GPU cores, only the clock frequency of the high-performance cores has been increased by 0.23 gigahertz, the clock frequency of the efficient cores is identical. Hyperthreading is not supported by the processor and overclocking of the processor is also not possible.

The processor achieves a single-core value of 1890 points and a multi-core value of 5355 points in the Geekbench 5 benchmark, making it around 10 percent faster than the Apple A15 Bionic.

The internal graphics unit has been improved compared to the predecessor. On the one hand, it is manufactured using the 1 nanometer smaller 4-nanometer process and, on the other hand, the clock frequency is 0.10 gigahertz higher than the Apple A15 Bionic with 5 GPU cores. The GPU has 160 execution units with 1280 shakers and the maximum GPU memory is specified as 8 gigabytes. The GPU of the Apple A16 Bionic achieves a FP32 (single precision) processing power of 2 teraflops and is thus significantly faster than the GPU of the predecessor, which had an FP32 processing power of only 1.5 teraflops.

The Apple A16 Bionic has 6 gigabytes of LPDDR5-6400 RAM installed. The main memory achieves a bandwidth of 51.2 gigabytes / second via the one existing memory channel. There was also an update to the Apple A15 Bionic, which is also equipped with 6 gigabytes of RAM, but the slightly older and slower LPDDR4X-4266 RAM is installed here.



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