Follow us
Share link
Submit benchmark
Apple A12Z Bionic Benchmark, Test and specs
Last updated:
The Apple A12Z Bionic has 8 CPU cores and can process 8 threads at the same time. The processor was presented in Q1/2020 and is based on the 12. Generation of the Apple A series series. In the Geekbench 5 benchmark, the Apple A12Z Bionic achieved a result of 1,124 points (single-core) or 4,718 points (multi-core).
| Name: | Apple A12Z Bionic |
|---|---|
| Family: | Apple A series (25) |
| CPU group: | Apple A12/A12X/A12Z (3) |
| Architecture: | A12 |
| Technology: | 7 nm |
| Segment: | Smartphone / Tablet |
| Generation: | 12 |
| Predecessor: | Apple A10X Fusion |
| Successor: | -- |
CPU Cores and Base Frequency
The Apple A12Z Bionic has 8 cores. The clock frequency of the Apple A12Z Bionic is 2.49 GHz. An initial performance assessment can be made using the number of CPU cores.
| CPU Cores / Threads: | 8 / 8 |
|---|---|
| Core architecture: | hybrid (big.LITTLE) |
| A-Core: | 4x Vortex |
| B-Core: | 4x Tempest |
| Hyperthreading / SMT: | No |
|---|---|
| Overclocking: | No |
| A-Core Frequency: | 2.49 GHz |
| B-Core Frequency: | 1.59 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: | 8 Neural cores @ 5 TOPS |
| NPU + CPU + iGPU: | -- |
Integrated graphics (iGPU)
The Apple A12Z Bionic has an integrated graphics that the system can use to efficiently play back videos. The Apple A12Z Bionic has the Apple A12Z installed, which has 32 streaming multiprocessors (512 shaders).
| GPU name: | Apple A12Z |
|---|---|
| GPU frequency: | 1.13 GHz |
| GPU (Turbo): | No turbo |
| Compute units: | 32 |
| Shader: | 512 |
| Hardware Raytracing: | No |
| Release date: | Q1/2020 |
| Max. displays: | 1 |
|---|---|
| Generation: | 9 |
| Direct X: | -- |
| Technology: | 7 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 A12Z Bionic supports a maximum of 6 GB memory. Depending on the mainboard, the processor can use a maximum of 2 (Dual Channel) memory channels. This results in a maximum bandwidth of the main memory of 68.2 GB/s. |
|
| Memory type: | Memory bandwidth: |
|---|---|
| LPDDR4X-4266 | 68.2 GB/s |
| Max. Memory: | 6 GB |
| Memory channels: | 2 (Dual Channel) |
| ECC: | No |
| PCIe: | |
| PCIe Bandwidth: | -- |
Thermal ManagementThe Apple A12Z Bionic has a TDP of 15 W. Based on the TDP, the system manufacturer can and must adapt the cooling solution to the processor. |
|
|---|---|
| TDP (PL1 / PBP): | 15 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 A12Z Bionic is made in 7 nm and has 8.00 MB cache.
| Technology: | 7 nm |
|---|---|
| Chip design: | Chiplet |
| Socket: | -- |
| L2-Cache: | 8.00 MB |
| L3-Cache: | -- |
| AES-NI: | No |
| Operating systems: | iOS |
| Virtualization: | None |
|---|---|
| Instruction set (ISA): | Armv8-A (64 bit) |
| ISA extensions: | -- |
| Release date: | Q1/2020 |
| Release price: | -- |
| Part Number: | -- |
| Documents: | -- |
8C 8T @ 2.49 GHz
buy now on Amazon and save!
Rate this processor
Benchmark results
The benchmark results for the Apple A12Z 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 5.4.1 on Apple iPad Pro 2020 (4. Gen) 12.9-inch, iOS 15.0
- Geekbench 5.4.4 on Apple iPad Pro 2018 (3rd Gen) 12.9-inch, iOS 15.2.1
- Antutu 9.0.7 on Apple iPad Pro 2018 (3rd Gen.) 12.9-inch, iOS 15.2.1
- Geekbench 6 (Apple iPad Pro 12.9 4th gen), iOS 16.2
- Geekbench 6 GPU Compute(Apple iPad Pro 12.9 4th gen), iOS 16.2
Cinebench R23 Single-Core
Cinebench R23 is the successor of Cinebench R20 and is also based on the Cinema 4 Suite. Cinema 4 is a worldwide used software to create 3D forms. The single-core test only uses one CPU core, the amount of cores or hyperthreading ability doesn't count.
|
Apple A12Z Bionic
8C 8T @ 2.49 GHz |
||
|
|
Apple A12X Bionic
8C 8T @ 2.49 GHz |
||
|
Qualcomm Snapdragon Microsoft SQ3
8C 8T @ 3.00 GHz |
||
|
|
Qualcomm Snapdragon 8cx Gen 3
8C 8T @ 3.00 GHz |
||
Cinebench R23 Multi-Core
Cinebench R23 is the successor of Cinebench R20 and is also based on the Cinema 4 Suite. Cinema 4 is a worldwide used software to create 3D forms. The multi-core test involves all CPU cores and taks a big advantage of hyperthreading.
|
|
Apple A12Z Bionic
8C 8T @ 2.49 GHz |
||
|
|
Apple A12X Bionic
8C 8T @ 2.49 GHz |
||
|
|
Qualcomm Snapdragon Microsoft SQ3
8C 8T @ 3.00 GHz |
||
|
|
Qualcomm Snapdragon 8cx Gen 3
8C 8T @ 3.00 GHz |
||
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.
|
Google Tensor
8C 8T @ 2.80 GHz |
||
|
Samsung Exynos 2200
8C 8T @ 2.80 GHz |
||
|
|
Google Tensor G2
8C 8T @ 2.85 GHz |
||
|
|
Apple A12Z Bionic
8C 8T @ 2.49 GHz |
||
|
|
Apple A12X Bionic
8C 8T @ 2.49 GHz |
||
|
|
Samsung Exynos 2100
8C 8T @ 2.90 GHz |
||
|
|
Qualcomm Snapdragon 8 Gen 1
8C 8T @ 3.00 GHz |
||
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.
|
|
Apple A15 Bionic (5-GPU)
6C 6T @ 3.23 GHz |
||
|
|
Qualcomm Snapdragon 8 Gen 2
8C 8T @ 3.36 GHz |
||
|
|
Qualcomm Snapdragon 8 Gen 2 for Galaxy
8C 8T @ 3.36 GHz |
||
|
|
Apple A12Z Bionic
8C 8T @ 2.49 GHz |
||
|
|
Apple A12X Bionic
8C 8T @ 2.49 GHz |
||
|
|
Apple A14 Bionic
6C 6T @ 3.00 GHz |
||
|
MediaTek Dimensity 9200+
8C 8T @ 3.35 GHz |
||
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.
|
|
Qualcomm Snapdragon 8+ Gen 1
8C 8T @ 3.20 GHz |
||
|
|
Qualcomm Snapdragon 7+ Gen 2
8C 8T @ 2.91 GHz |
||
|
|
Samsung Exynos 2200
8C 8T @ 2.80 GHz |
||
|
|
Apple A12Z Bionic
8C 8T @ 2.49 GHz |
||
|
|
Apple A12X Bionic
8C 8T @ 2.49 GHz |
||
|
|
Qualcomm Snapdragon 888+
8C 8T @ 3.00 GHz |
||
|
|
Apple A12 Bionic
6C 6T @ 2.49 GHz |
||
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.
|
|
MediaTek Dimensity 9200+
8C 8T @ 3.35 GHz |
||
|
|
Apple A15 Bionic (4-GPU)
6C 6T @ 3.23 GHz |
||
|
|
Apple A15 Bionic (5-GPU)
6C 6T @ 3.23 GHz |
||
|
|
Apple A12Z Bionic
8C 8T @ 2.49 GHz |
||
|
|
Apple A12X Bionic
8C 8T @ 2.49 GHz |
||
|
|
MediaTek Dimensity 9000+
8C 8T @ 3.20 GHz |
||
|
|
MediaTek Dimensity 1000+
8C 8T @ 2.60 GHz |
||
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.
|
|
Samsung Exynos 2100
ARM Mali-G78 MP14 @ 0.76 GHz |
||
|
|
Qualcomm Snapdragon 865
Qualcomm Adreno 650 @ 0.59 GHz |
||
|
|
Qualcomm QCM6490
Qualcomm Adreno 643L @ 0.81 GHz |
||
|
|
Apple A12Z Bionic
Apple A12Z @ 1.13 GHz |
||
|
|
Samsung Exynos 990
ARM Mali-G77 MP11 @ 0.80 GHz |
||
|
|
Qualcomm Snapdragon 855 Plus
Qualcomm Adreno 640 @ 0.68 GHz |
||
|
|
Qualcomm Snapdragon 860
Qualcomm Adreno 640 @ 0.68 GHz |
||
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.
|
|
MediaTek Dimensity 8100
8C 8T @ 2.85 GHz |
||
|
|
Apple A15 Bionic (4-GPU)
6C 6T @ 3.23 GHz |
||
|
|
Google Tensor G2
8C 8T @ 2.85 GHz |
||
|
|
Apple A12Z Bionic
8C 8T @ 2.49 GHz |
||
|
|
Apple A14 Bionic
6C 6T @ 3.00 GHz |
||
|
|
Qualcomm Snapdragon 870
8C 8T @ 3.20 GHz |
||
|
|
Samsung Exynos 2100
8C 8T @ 2.90 GHz |
||
AnTuTu 8 Benchmark
The AnTuTu 8 Benchmark measures the performance of a SoC. AnTuTu benchmarks the CPU, GPU, Memory as well as the UX (User Experience) by simulating browser and app usage. AnTuTu can benchmark any ARM CPU that runs under Android or iOS. Devices may not be directly compareable if the benchmark has been performed under different operating systems.
In the AnTuTu 8 benchmark, the single-core performance of a processor is only slightly weighted. The evaluation consists of the multi-core performance of the processor, the speed of the RAM and the performance of the internal graphics.
In the AnTuTu 8 benchmark, the single-core performance of a processor is only slightly weighted. The evaluation consists of the multi-core performance of the processor, the speed of the RAM and the performance of the internal graphics.
|
|
Apple A12Z Bionic
8C 8T @ 2.49 GHz |
||
|
|
Qualcomm Snapdragon 888
8C 8T @ 2.84 GHz |
||
|
|
Apple A12X Bionic
8C 8T @ 2.49 GHz |
||
|
|
Qualcomm Snapdragon 888+
8C 8T @ 3.00 GHz |
||
|
|
Samsung Exynos 1080
8C 8T @ 2.80 GHz |
||
|
HiSilicon Kirin 9000
8C 8T @ 3.13 GHz |
||
|
|
Qualcomm Snapdragon 870
8C 8T @ 3.20 GHz |
||
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).
|
|
Qualcomm Snapdragon 765
8C 8T @ 2.30 GHz |
||
|
|
Qualcomm Snapdragon 765G
8C 8T @ 2.40 GHz |
||
|
|
Qualcomm Snapdragon 768G
8C 8T @ 2.80 GHz |
||
|
|
Apple A12Z Bionic
8C 8T @ 2.49 GHz |
||
|
|
Qualcomm Snapdragon 7c Gen 2
8C 8T @ 2.55 GHz |
||
|
|
Qualcomm Snapdragon 7c
8C 8T @ 2.40 GHz |
||
|
|
Qualcomm Snapdragon 720G
8C 8T @ 2.30 GHz |
||
Benchmarks
Cinebench R23 (SC)
646 entries
646 entries
Cinebench R23 (MC)
626 entries
626 entries
Geekbench 6 (SC)
1,885 entries
1,885 entries
Geekbench 6 (MC)
1,819 entries
1,819 entries
Geekbench 5 (SC)
2,510 entries
2,510 entries
Geekbench 5 (MC)
2,477 entries
2,477 entries
FP32 SP (iGPU)
2,155 entries
2,155 entries
AnTuTu 9 Benchmark
90 entries
90 entries
AnTuTu 8 Benchmark
118 entries
118 entries
AI performance (NPU)
182 entries
182 entries
Description of the processor
The Apple A12Z Bionic is a fast smart device processor that the manufacturer Apple uses in some tablets (Apple iPad Pro). It is based on the normal Apple A12 smartphone processor, but has twice as many performance cores.In total, the Apple A12Z Bionic has four performance CPU cores (Apple Vortex) that can clock at up to 2.49 GHz. These are supplemented by another four efficiency cores (Apple Tempest), which have a maximum speed of 1.59 GHz. The E cores are smaller, have a lower clock speed and require less energy.
The Apple A12Z Bionic already has hardware AI acceleration that significantly speeds up image and video processing. To do this, the manufacturer installs eight neural cores in the Apple A12Z Bionic, which achieve a theoretical AI computing power of 5 TOPS.
The integrated graphics of the Apple A12Z Bionic can clock at a maximum of 1.13 GHz and have 512 texture shaders. The graphics processing power of almost 1.2 TFLOPS (FP32) is really impressive for a mobile smart device processor and is fast enough for all mobile games.
The high graphics performance is also related to the fast LPDDR4X-4266 memory, which is connected to the SoC in two channels. The 6 GB of RAM achieves a maximum of 68.2 GB/s of memory bandwidth.
The TDP of the SoC is between 12 and 15 watts. Apple itself does not provide an exact TDP value for the Apple A12Z Bionic, so we used the energy consumption in benchmarks to estimate the TDP. The CPU and GPU part of the Apple A12Z Bionic share the maximum possible energy among themselves as required.
The Apple A12Z Bionic is manufactured at TSMC using a 7 nm manufacturing process. Apple usually uses the Taiwanese semiconductor manufacturers latest production line to create the most efficient processors possible.
Popular comparisons
back to index