Apple A12Z Bionic | Google Tensor | |
CPU comparisonIn this CPU comparison, we compare the Apple A12Z Bionic and the Google Tensor and use benchmarks to check which processor is faster.
We compare the Apple A12Z Bionic 8 core processor released in Q1/2020 with the Google Tensor which has 8 CPU cores and was introduced in Q4/2021. |
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Apple A series (22) | Family | Google Tensor (3) |
Apple A12/A12X/A12Z (3) | CPU group | Google Tensor (1) |
12 | Generation | 1 |
A12 | Architecture | G1 |
Mobile | Segment | Mobile |
Apple A10X Fusion | Predecessor | -- |
-- | Successor | Google Tensor G2 |
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CPU Cores and Base FrequencyThe Apple A12Z Bionic is a 8 core processor with a clock frequency of 2.49 GHz. The processor can compute 8 threads at the same time. The Google Tensor clocks with 2.80 GHz, has 8 CPU cores and can calculate 8 threads in parallel. |
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Apple A12Z Bionic | Characteristic | Google Tensor |
8 | Cores | 8 |
8 | Threads | 8 |
hybrid (big.LITTLE) | Core architecture | hybrid (Prime / big.LITTLE) |
No | Hyperthreading | No |
No | Overclocking ? | No |
2.49 GHz 4x Vortex |
A-Core | 2.80 GHz 2x Cortex-X1 |
1.59 GHz 4x Tempest |
B-Core | 2.25 GHz 2x Cortex-A76 |
-- | C-Core | 1.80 GHz 4x Cortex-A55 |
Artificial Intelligence and Machine LearningProcessors 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. Algorithms for ML improve their performance the more data they have collected via software. ML tasks can be processed up to 10,000 times faster than with a classic processor. |
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Apple A12Z Bionic | Characteristic | Google Tensor |
Apple Neural Engine | AI hardware | Google Tensor AI |
8 Neural cores @ 5 TOPS | AI specifications | Google Edge TPU @ 1.6 TOPS |
Internal GraphicsGraphics (iGPU) integrated into the processor not only enable image output without having to rely on a dedicated graphics solution, but can also efficiently accelerate video playback. |
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Apple A12Z | GPU | ARM Mali-G78 MP20 |
1.13 GHz | GPU frequency | 0.76 GHz |
-- | GPU (Turbo) | -- |
9 | GPU Generation | Vallhall 2 |
7 nm | Technology | 5 nm |
1 | Max. displays | 1 |
32 | Compute units | 20 |
512 | Shader | 320 |
No | Hardware Raytracing | No |
No | Frame Generation | No |
6 GB | Max. GPU Memory | -- |
-- | DirectX Version | 12 |
Hardware codec supportA photo or video codec that is accelerated in hardware can greatly accelerate the working speed of a processor and extend the battery life of notebooks or smartphones when playing videos. |
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Apple A12Z | GPU | ARM Mali-G78 MP20 |
Decode / Encode | Codec h265 / HEVC (8 bit) | Decode / Encode |
Decode / Encode | Codec h265 / HEVC (10 bit) | Decode / Encode |
Decode / Encode | Codec h264 | Decode / Encode |
Decode / Encode | Codec VP9 | Decode / Encode |
Decode / Encode | Codec VP8 | Decode / Encode |
No | Codec AV1 | Decode |
Decode | Codec AVC | Decode / Encode |
Decode | Codec VC-1 | Decode / Encode |
Decode / Encode | Codec JPEG | Decode / Encode |
Memory & PCIeUp to 6 GB of memory in a maximum of 2 memory channels is supported by the Apple A12Z Bionic, while the Google Tensor supports a maximum of 12 GB of memory with a maximum memory bandwidth of 53.0 GB/s enabled. |
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Apple A12Z Bionic | Characteristic | Google Tensor |
LPDDR4X-4266 | Memory | LPDDR5-5500 |
6 GB | Max. Memory | 12 GB |
2 (Dual Channel) | Memory channels | 2 (Dual Channel) |
68.2 GB/s | Max. Bandwidth | 53.0 GB/s |
No | ECC | No |
8.00 MB | L2 Cache | 8.00 MB |
-- | L3 Cache | -- |
-- | PCIe version | -- |
-- | PCIe lanes | -- |
-- | PCIe Bandwidth | -- |
Thermal ManagementThe Apple A12Z Bionic has a TDP of 15 W. The TDP of the Google Tensor is 10 W. System integrators use the TDP of the processor as a guide when dimensioning the cooling solution. |
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Apple A12Z Bionic | Characteristic | Google Tensor |
15 W | TDP (PL1 / PBP) | 10 W |
-- | TDP (PL2) | -- |
-- | TDP up | -- |
-- | TDP down | -- |
-- | Tjunction max. | -- |
Technical detailsThe Apple A12Z Bionic has 8.00 MB cache and is manufactured in 7 nm. The cache of Google Tensor is at 8.00 MB. The processor is manufactured in 5 nm. |
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Apple A12Z Bionic | Characteristic | Google Tensor |
7 nm | Technology | 5 nm |
Chiplet | Chip design | Unknown |
Armv8-A (64 bit) | Instruction set (ISA) | Armv8-A (64 bit) |
-- | ISA extensions | -- |
-- | Socket | -- |
None | Virtualization | None |
No | AES-NI | No |
iOS | Operating systems | Android |
Q1/2020 | Release date | Q4/2021 |
-- | Release price | -- |
show more data | show more data | |
Apple A12Z Bionic
8C 8T @ 2.49 GHz |
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Google Tensor
8C 8T @ 2.80 GHz |
Apple A12Z Bionic
8C 8T @ 2.49 GHz |
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Google Tensor
8C 8T @ 2.80 GHz |
Apple A12Z Bionic
8C 8T @ 2.49 GHz |
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Google Tensor
8C 8T @ 2.80 GHz |
Apple A12Z Bionic
8C 8T @ 2.49 GHz |
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Google Tensor
8C 8T @ 2.80 GHz |
Apple A12Z Bionic
Apple A12Z @ 1.13 GHz |
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Google Tensor
ARM Mali-G78 MP20 @ 0.76 GHz |
Apple A12Z Bionic
8C 8T @ 2.49 GHz |
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Google Tensor
8C 8T @ 2.80 GHz |
Apple A12Z Bionic
8C 8T @ 2.49 GHz |
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Google Tensor
8C 8T @ 2.80 GHz |
Apple A12Z Bionic
8C 8T @ 2.49 GHz |
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Google Tensor
8C 8T @ 2.80 GHz |
Apple A12Z Bionic
8C 8T @ 2.49 GHz |
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Google Tensor
8C 8T @ 2.80 GHz |
Apple A12Z Bionic
8C 8T @ 2.49 GHz |
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Google Tensor
8C 8T @ 2.80 GHz |
Devices using this processor |
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Apple A12Z Bionic | Google Tensor |
Apple iPad Pro 2020 | Google Pixel 6 Google Pixel 6 Pro |