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Apple A16 Bionic Benchmark, Test and specs
Last updated:
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).
| Name: | Apple A16 Bionic |
|---|---|
| Family: | Apple A series (25) |
| CPU group: | Apple A16 (2) |
| Architecture: | A16 |
| Technology: | 4 nm |
| Segment: | Smartphone / Tablet |
| 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: | 0.40 GHz |
| GPU (Turbo): | 1.34 GHz |
| 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 & PCIeThe 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 ManagementThe Apple A16 Bionic has a TDP of 10 W. Based on the TDP, the system manufacturer can and must adapt the cooling solution to the processor. |
|
|---|---|
| TDP (PL1 / PBP): | 10 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
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:
Screenshots:
- Geekbench 5.4.4 (6 GB LPDDR5), iOS 16
- Geekbench 5.4.4 on Apple iPhone 14 Pro (6 GB LPDDR5), iOS 16
- AnTuTu v9.1.2 on Apple iPhone 14 Pro (iOS 16)
- Geekbench 6.0.0 on Apple iPhone 14 Pro (iOS 16)
Geekbench 6 (Single-Core)
Geekbench 6 is a partial load benchmark for modern computers, notebooks and smartphones. In the single-core test, only the fastest CPU core is measured. The test run simulates the performance in practice.
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Apple A17 Pro
6C 6T @ 3.78 GHz |
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MediaTek Dimensity 9400
8C 8T @ 3.62 GHzNot verified |
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Apple A16 Bionic (5-CPU 4-GPU)
5C 5T @ 3.46 GHz |
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Apple A16 Bionic
6C 6T @ 3.46 GHz |
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Apple A15 Bionic (4-GPU)
6C 6T @ 3.23 GHz |
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Apple A15 Bionic (5-GPU)
6C 6T @ 3.23 GHz |
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MediaTek Dimensity 9300+
8C 8T @ 3.40 GHz |
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Geekbench 6 (Multi-Core)
The practical Geekbench 6 multi-core benchmark tests the system's performance under partial load. The processor's maximum power consumption is far from being used up.
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Apple A17 Pro
6C 6T @ 3.78 GHz |
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Qualcomm Snapdragon 8 Gen 3
8C 8T @ 3.40 GHz |
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Samsung Exynos 2400
10C 10T @ 3.21 GHz |
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Apple A16 Bionic
6C 6T @ 3.46 GHz |
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Apple A16 Bionic (5-CPU 4-GPU)
5C 5T @ 3.46 GHz |
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Apple A15 Bionic (4-GPU)
6C 6T @ 3.23 GHz |
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Apple A15 Bionic (5-GPU)
6C 6T @ 3.23 GHz |
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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.
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Qualcomm Snapdragon 8 Elite
8C 8T @ 4.32 GHz |
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Apple A17 Pro
6C 6T @ 3.78 GHz |
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Apple A16 Bionic
6C 6T @ 3.46 GHz |
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Apple A15 Bionic (4-GPU)
6C 6T @ 3.23 GHz |
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Apple A15 Bionic (5-GPU)
6C 6T @ 3.23 GHz |
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Qualcomm Snapdragon 8 Gen 3
8C 8T @ 3.40 GHz |
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Qualcomm Snapdragon Microsoft SQ3
8C 8T @ 3.00 GHz |
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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.
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MediaTek Dimensity 9300+
8C 8T @ 3.40 GHz |
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Qualcomm Snapdragon 8cx Gen 3
8C 8T @ 3.00 GHz |
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Samsung Exynos 2400
10C 10T @ 3.21 GHz |
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Apple A16 Bionic
6C 6T @ 3.46 GHz |
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Qualcomm Snapdragon 8 Gen 2
8C 8T @ 3.36 GHz |
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Qualcomm Snapdragon 8 Gen 2 for Galaxy
8C 8T @ 3.36 GHz |
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MediaTek Dimensity 9200+
8C 8T @ 3.35 GHz |
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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.
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Qualcomm Snapdragon 8 Gen 2 for Galaxy
Qualcomm Adreno 740 @ 0.72 GHz |
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Qualcomm Snapdragon 8s Gen 3
Qualcomm Adreno 740 @ 0.72 GHz |
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Samsung Exynos 2400
Samsung Xclipse 940 @ 1.10 GHz |
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Apple A16 Bionic
Apple A16 (5 GPU Cores) @ 1.34 GHz |
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Qualcomm Snapdragon 8 Elite
Qualcomm Adreno 830 @ 1.10 GHz |
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Qualcomm Snapdragon 7+ Gen 2
Qualcomm Adreno 725 @ 0.58 GHz |
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Qualcomm Snapdragon 8 Gen 2
Qualcomm Adreno 740 @ 0.68 GHz |
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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.
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.
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MediaTek Dimensity 9200+
8C 8T @ 3.35 GHz |
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Apple A17 Pro
6C 6T @ 0.70 GHz |
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MediaTek Dimensity 8300
8C 8T @ 3.35 GHz |
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Apple A16 Bionic
6C 6T @ 3.46 GHz |
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Apple A15 Bionic (5-GPU)
6C 6T @ 3.23 GHz |
||
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Samsung Exynos 2200
8C 8T @ 2.80 GHz |
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Google Tensor G3
8C 8T @ 2.91 GHz |
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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.
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.
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MediaTek Dimensity 9000
8C 8T @ 3.05 GHz |
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Qualcomm Snapdragon 7+ Gen 2
8C 8T @ 2.91 GHz |
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Qualcomm Snapdragon 8 Gen 1
8C 8T @ 3.00 GHz |
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Apple A16 Bionic
6C 6T @ 3.46 GHz |
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Samsung Exynos 2200
8C 8T @ 2.80 GHz |
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Google Tensor G3
8C 8T @ 2.91 GHz |
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Qualcomm Snapdragon 888+
8C 8T @ 3.00 GHz |
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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).
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).
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Qualcomm Snapdragon 888
8C 8T @ 2.84 GHz |
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Qualcomm Snapdragon 8 Gen 1
8C 8T @ 3.00 GHz |
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Qualcomm Snapdragon 8 Gen 2
8C 8T @ 3.36 GHz |
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Apple A16 Bionic
6C 6T @ 3.46 GHz |
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Apple A16 Bionic (5-CPU 4-GPU)
5C 5T @ 3.46 GHz |
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Apple A15 Bionic (4-GPU)
6C 6T @ 3.23 GHz |
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Apple A15 Bionic (5-GPU)
6C 6T @ 3.23 GHz |
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Benchmarks
Geekbench 6 (SC)
1,875 entries
1,875 entries
Geekbench 6 (MC)
1,809 entries
1,809 entries
Geekbench 5 (SC)
2,509 entries
2,509 entries
Geekbench 5 (MC)
2,476 entries
2,476 entries
FP32 SP (iGPU)
2,154 entries
2,154 entries
AnTuTu 10 Benchmark
22 entries
22 entries
AnTuTu 9 Benchmark
90 entries
90 entries
AI performance (NPU)
181 entries
181 entries
News and articles for the Apple A16 Bionic
MediaTek Dimensity 9000+ vs Apple A16 and Snapdragon 8+ Gen 1
Posted by Stefan on 2022-09-22
With the Dimensity 9000+, Mediatek presents the latest of its smartphone chips. The successor to the Mediatek Dimensity 9000 achieves higher CPU and GPU clock frequencies thanks to better binning. The CPU clock of the prime core (A core) increases from 3.0 to 3.2 GHz. And the ARM Mali-G710 MP10 GPU can now clock at 0.9 GHz (previously 0.85 GHz).
Both are a good improvement over the Dimensity 9000 in theory but the increase in performance should not usually be noticeable in practice. In the end, the overall performance of the Mediatek Dimensity 9000+ is impressive: Qualcomm Snapdragon 8+ Gen 1 is beaten in Geekbench 5 in both the single-core and multi-core benchmarks.
Both are a good improvement over the Dimensity 9000 in theory but the increase in performance should not usually be noticeable in practice. In the end, the overall performance of the Mediatek Dimensity 9000+ is impressive: Qualcomm Snapdragon 8+ Gen 1 is beaten in Geekbench 5 in both the single-core and multi-core benchmarks.
What we know about the new Apple A16 Bionic in Apples iPhone 14
Posted by Stefan on 2022-08-23
Every year Apple releases a new iPhone series and with the release of the series always the latest Apple A processor. This has become even more important in recent years, as it has also formed the basis for Apple's M processor series since 2020. The Apple M processors are based on the same core architecture as the Apple A processors, but have been significantly upgraded in many areas such as memory bandwith, amount of memory or cache.
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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