Google Tensor G3 | Apple A14 Bionic | |
CPU comparisonGoogle Tensor G3 or Apple A14 Bionic - which processor is faster? In this comparison we look at the differences and analyze which of these two CPUs is better. We compare the technical data and benchmark results.
The Google Tensor G3 has 8 cores with 8 threads and clocks with a maximum frequency of 2.91 GHz. Up to 12 GB of memory is supported in 2 memory channels. The Google Tensor G3 was released in Q3/2023. The Apple A14 Bionic has 6 cores with 6 threads and clocks with a maximum frequency of 3.00 GHz. The CPU supports up to 6 GB of memory in 1 memory channels. The Apple A14 Bionic was released in Q3/2020. |
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Google Tensor (3) | Family | Apple A series (22) |
Google Tensor G3 (1) | CPU group | Apple A14 (1) |
3 | Generation | 14 |
G3 | Architecture | A14 (Firestorm/Icestorm) |
Mobile | Segment | Mobile |
Google Tensor | Predecessor | Apple A13 Bionic |
-- | Successor | Apple A15 Bionic (5-GPU) |
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CPU Cores and Base FrequencyThe Google Tensor G3 is a 8 core processor with a clock frequency of 2.91 GHz. The Apple A14 Bionic has 6 CPU cores with a clock frequency of 3.00 GHz. |
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Google Tensor G3 | Characteristic | Apple A14 Bionic |
8 | Cores | 6 |
8 | Threads | 6 |
hybrid (Prime / big.LITTLE) | Core architecture | hybrid (big.LITTLE) |
No | Hyperthreading | No |
No | Overclocking ? | No |
2.91 GHz 1x Cortex-X3 |
A-Core | 3.00 GHz 2x Firestorm |
2.37 GHz 4x Cortex-A715 |
B-Core | 1.82 GHz 4x Icestorm |
1.70 GHz 4x Cortex-A510 |
C-Core | -- |
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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Google Tensor G3 | Characteristic | Apple A14 Bionic |
Google Tensor AI | AI hardware | Apple Neural Engine |
Google Edge TPU | AI specifications | 16 Neural cores @ 11 TOPS |
Internal GraphicsThe integrated graphics unit of a processor is not only responsible for the pure image output on the system, but can also significantly increase the efficiency of the system with the support of modern video codecs. |
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ARM Immortalis-G715 MP10 | GPU | Apple A14 |
0.89 GHz | GPU frequency | 1.46 GHz |
-- | GPU (Turbo) | -- |
Vallhall | GPU Generation | 11 |
4 nm | Technology | 5 nm |
0 | Max. displays | 3 |
10 | Compute units | 16 |
-- | Shader | 256 |
No | Hardware Raytracing | No |
No | Frame Generation | No |
-- | Max. GPU Memory | 6 GB |
12 | DirectX Version | -- |
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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ARM Immortalis-G715 MP10 | GPU | Apple A14 |
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 |
Decode / Encode | Codec AV1 | No |
Decode / Encode | Codec AVC | Decode |
Decode / Encode | Codec VC-1 | Decode |
Decode / Encode | Codec JPEG | Decode / Encode |
Memory & PCIeThe Google Tensor G3 supports a maximum of 12 GB of memory in 2 memory channels. The Apple A14 Bionic can connect up to 6 GB of memory in 1 memory channels. |
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Google Tensor G3 | Characteristic | Apple A14 Bionic |
LPDDR5-5500 | Memory | LPDDR4X-4266 |
12 GB | Max. Memory | 6 GB |
2 (Dual Channel) | Memory channels | 1 (Single Channel) |
53.0 GB/s | Max. Bandwidth | 34.1 GB/s |
No | ECC | No |
-- | L2 Cache | 12.00 MB |
-- | L3 Cache | 16.00 MB |
-- | PCIe version | -- |
-- | PCIe lanes | -- |
-- | PCIe Bandwidth | -- |
Thermal ManagementThe TDP (Thermal Design Power) of a processor specifies the required cooling solution. The Google Tensor G3 has a TDP of 10 W, that of the Apple A14 Bionic is 7.25 W. |
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Google Tensor G3 | Characteristic | Apple A14 Bionic |
10 W | TDP (PL1 / PBP) | 7.25 W |
-- | TDP (PL2) | -- |
-- | TDP up | -- |
-- | TDP down | -- |
-- | Tjunction max. | -- |
Technical detailsThe Google Tensor G3 has a 0.00 MB cache, while the Apple A14 Bionic cache has a total of 28.00 MB. |
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Google Tensor G3 | Characteristic | Apple A14 Bionic |
4 nm | Technology | 5 nm |
Chiplet | Chip design | Chiplet |
Armv9-A (64 bit) | Instruction set (ISA) | Armv8-A (64 bit) |
-- | ISA extensions | -- |
-- | Socket | -- |
None | Virtualization | None |
No | AES-NI | No |
Android | Operating systems | iOS |
Q3/2023 | Release date | Q3/2020 |
-- | Release price | -- |
show more data | show more data | |
Google Tensor G3
8C 8T @ 2.91 GHz |
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Apple A14 Bionic
6C 6T @ 3.00 GHz |
Google Tensor G3
8C 8T @ 2.91 GHz |
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Apple A14 Bionic
6C 6T @ 3.00 GHz |
Google Tensor G3
8C 8T @ 2.91 GHz |
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Apple A14 Bionic
6C 6T @ 3.00 GHz |
Google Tensor G3
8C 8T @ 2.91 GHz |
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Apple A14 Bionic
6C 6T @ 3.00 GHz |
Google Tensor G3
ARM Immortalis-G715 MP10 @ 0.89 GHz |
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Apple A14 Bionic
Apple A14 @ 1.46 GHz |
Google Tensor G3
8C 8T @ 2.91 GHz |
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Apple A14 Bionic
6C 6T @ 3.00 GHz |
Google Tensor G3
8C 8T @ 2.91 GHz |
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Apple A14 Bionic
6C 6T @ 3.00 GHz |
Google Tensor G3
8C 8T @ 2.91 GHz |
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Apple A14 Bionic
6C 6T @ 3.00 GHz |
Google Tensor G3
8C 8T @ 2.91 GHz |
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Apple A14 Bionic
6C 6T @ 3.00 GHz |
Google Tensor G3
8C 8T @ 2.91 GHz |
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Apple A14 Bionic
6C 6T @ 3.00 GHz |
Devices using this processor |
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Google Tensor G3 | Apple A14 Bionic |
Google Pixel 8 Google Pixel 8 Pro |
Apple iPhone 12 mini Apple iPhone 12 Apple iPhone 12 Pro Apple iPhone 12 Pro Max Apple iPad Air (4. Gen) |