Apple A13 Bionic | Google Tensor G2 | |
CPU comparisonIn this CPU comparison, we compare the Apple A13 Bionic and the Google Tensor G2 and use benchmarks to check which processor is faster.
We compare the Apple A13 Bionic 6 core processor released in Q3/2019 with the Google Tensor G2 which has 8 CPU cores and was introduced in Q4/2022. |
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Apple A series (22) | Family | Google Tensor (3) |
Apple A13 (1) | CPU group | Google Tensor G2 (1) |
13 | Generation | 2 |
A13 (Lightning / Thunder) | Architecture | G2 |
Mobile | Segment | Mobile |
Apple A12 Bionic | Predecessor | Google Tensor |
Apple A14 Bionic | Successor | -- |
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CPU Cores and Base FrequencyThe Apple A13 Bionic is a 6 core processor with a clock frequency of 2.65 GHz. The processor can compute 6 threads at the same time. The Google Tensor G2 clocks with 2.85 GHz, has 8 CPU cores and can calculate 8 threads in parallel. |
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Apple A13 Bionic | Characteristic | Google Tensor G2 |
6 | Cores | 8 |
6 | Threads | 8 |
hybrid (big.LITTLE) | Core architecture | hybrid (Prime / big.LITTLE) |
No | Hyperthreading | No |
No | Overclocking ? | No |
2.65 GHz 2x Lightning |
A-Core | 2.85 GHz 2x Cortex-X1 |
1.80 GHz 4x Thunder |
B-Core | 2.35 GHz 2x Cortex-A78 |
-- | 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 A13 Bionic | Characteristic | Google Tensor G2 |
Apple Neural Engine | AI hardware | Google Tensor AI |
8 Neural cores @ 6 TOPS | AI specifications | Google Edge TPU @ 4 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 A13 | GPU | ARM Mali-G710 MP7 |
1.35 GHz | GPU frequency | 0.90 GHz |
-- | GPU (Turbo) | -- |
10 | GPU Generation | Vallhall 3 |
7 nm | Technology | 4 nm |
1 | Max. displays | 1 |
16 | Compute units | 7 |
256 | Shader | -- |
No | Hardware Raytracing | No |
No | Frame Generation | No |
4 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 A13 | GPU | ARM Mali-G710 MP7 |
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 4 GB of memory in a maximum of 1 memory channels is supported by the Apple A13 Bionic, while the Google Tensor G2 supports a maximum of 12 GB of memory with a maximum memory bandwidth of 53.0 GB/s enabled. |
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Apple A13 Bionic | Characteristic | Google Tensor G2 |
LPDDR4X-4266 | Memory | LPDDR5-5500 |
4 GB | Max. Memory | 12 GB |
1 (Single Channel) | Memory channels | 2 (Dual Channel) |
34.1 GB/s | Max. Bandwidth | 53.0 GB/s |
No | ECC | No |
8.00 MB | L2 Cache | 8.00 MB |
-- | L3 Cache | 4.00 MB |
-- | PCIe version | -- |
-- | PCIe lanes | -- |
-- | PCIe Bandwidth | -- |
Thermal ManagementThe Apple A13 Bionic has a TDP of 6 W. The TDP of the Google Tensor G2 is 10 W. System integrators use the TDP of the processor as a guide when dimensioning the cooling solution. |
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Apple A13 Bionic | Characteristic | Google Tensor G2 |
6 W | TDP (PL1 / PBP) | 10 W |
-- | TDP (PL2) | -- |
-- | TDP up | -- |
-- | TDP down | -- |
-- | Tjunction max. | -- |
Technical detailsThe Apple A13 Bionic has 8.00 MB cache and is manufactured in 7 nm. The cache of Google Tensor G2 is at 12.00 MB. The processor is manufactured in 4 nm. |
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Apple A13 Bionic | Characteristic | Google Tensor G2 |
7 nm | Technology | 4 nm |
Chiplet | Chip design | Chiplet |
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 |
Q3/2019 | Release date | Q4/2022 |
-- | Release price | -- |
show more data | show more data | |
Apple A13 Bionic
6C 6T @ 2.65 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Apple A13 Bionic
6C 6T @ 2.65 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Apple A13 Bionic
6C 6T @ 2.65 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Apple A13 Bionic
6C 6T @ 2.65 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Apple A13 Bionic
Apple A13 @ 1.35 GHz |
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Google Tensor G2
ARM Mali-G710 MP7 @ 0.90 GHz |
Apple A13 Bionic
6C 6T @ 2.65 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Apple A13 Bionic
6C 6T @ 2.65 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Apple A13 Bionic
6C 6T @ 2.65 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Apple A13 Bionic
6C 6T @ 2.65 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Devices using this processor |
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Apple A13 Bionic | Google Tensor G2 |
Apple iPhone 11 Apple iPhone 11 Pro Apple iPhone 11 Pro Max iPhone SE |
Google Pixel 7 Google Pixel 7 Pro |