Google Tensor G3 | Apple A15 Bionic (4-GPU) | |
CPU comparisonGoogle Tensor G3 or Apple A15 Bionic (4-GPU) - 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 A15 Bionic (4-GPU) has 6 cores with 6 threads and clocks with a maximum frequency of 3.23 GHz. The CPU supports up to 6 GB of memory in 1 memory channels. The Apple A15 Bionic (4-GPU) was released in Q3/2021. |
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Google Tensor (3) | Family | Apple A series (22) |
Google Tensor G3 (1) | CPU group | Apple A15 (2) |
3 | Generation | 15 |
G3 | Architecture | A15 |
Mobile | Segment | Mobile |
Google Tensor | Predecessor | -- |
-- | Successor | -- |
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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 A15 Bionic (4-GPU) has 6 CPU cores with a clock frequency of 3.23 GHz. |
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Google Tensor G3 | Characteristic | Apple A15 Bionic (4-GPU) |
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 | 3.23 GHz 2x Avalanche |
2.37 GHz 4x Cortex-A715 |
B-Core | 2.02 GHz 4x Blizzard |
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 A15 Bionic (4-GPU) |
Google Tensor AI | AI hardware | Apple Neural Engine |
Google Edge TPU | AI specifications | 16 Neural cores @ 15.8 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 A15 (4 GPU Cores) |
0.89 GHz | GPU frequency | 1.34 GHz |
-- | GPU (Turbo) | -- |
Vallhall | GPU Generation | 12 |
4 nm | Technology | 5 nm |
0 | Max. displays | 3 |
10 | Compute units | 16 |
-- | Shader | 512 |
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 A15 (4 GPU Cores) |
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 A15 Bionic (4-GPU) can connect up to 6 GB of memory in 1 memory channels. |
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Google Tensor G3 | Characteristic | Apple A15 Bionic (4-GPU) |
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 | 16.00 MB |
-- | L3 Cache | 32.00 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 A15 Bionic (4-GPU) is 7.25 W. |
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Google Tensor G3 | Characteristic | Apple A15 Bionic (4-GPU) |
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 A15 Bionic (4-GPU) cache has a total of 48.00 MB. |
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Google Tensor G3 | Characteristic | Apple A15 Bionic (4-GPU) |
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 | Q3/2021 |
-- | Release price | -- |
show more data | show more data | |
Google Tensor G3
8C 8T @ 2.91 GHz |
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Apple A15 Bionic (4-GPU)
6C 6T @ 3.23 GHz |
Google Tensor G3
8C 8T @ 2.91 GHz |
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Apple A15 Bionic (4-GPU)
6C 6T @ 3.23 GHz |
Google Tensor G3
8C 8T @ 2.91 GHz |
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Apple A15 Bionic (4-GPU)
6C 6T @ 3.23 GHz |
Google Tensor G3
8C 8T @ 2.91 GHz |
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Apple A15 Bionic (4-GPU)
6C 6T @ 3.23 GHz |
Google Tensor G3
ARM Immortalis-G715 MP10 @ 0.89 GHz |
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Apple A15 Bionic (4-GPU)
Apple A15 (4 GPU Cores) @ 1.34 GHz |
Google Tensor G3
8C 8T @ 2.91 GHz |
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Apple A15 Bionic (4-GPU)
6C 6T @ 3.23 GHz |
Google Tensor G3
8C 8T @ 2.91 GHz |
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Apple A15 Bionic (4-GPU)
6C 6T @ 3.23 GHz |
Google Tensor G3
8C 8T @ 2.91 GHz |
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Apple A15 Bionic (4-GPU)
6C 6T @ 3.23 GHz |
Devices using this processor |
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Google Tensor G3 | Apple A15 Bionic (4-GPU) |
Google Pixel 8 Google Pixel 8 Pro |
Apple iPhone 13 mini Apple iPhone 13 |