Google Tensor | Apple A10 Fusion | |
CPU comparisonGoogle Tensor or Apple A10 Fusion - 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 has 8 cores with 8 threads and clocks with a maximum frequency of 2.80 GHz. Up to 12 GB of memory is supported in 2 memory channels. The Google Tensor was released in Q4/2021. The Apple A10 Fusion has 4 cores with 4 threads and clocks with a maximum frequency of 2.34 GHz. The CPU supports up to 3 GB of memory in 1 memory channels. The Apple A10 Fusion was released in Q3/2016. |
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Google Tensor (3) | Family | Apple A series (22) |
Google Tensor (1) | CPU group | Apple A10/A10X (2) |
1 | Generation | 10 |
G1 | Architecture | A10 |
Mobile | Segment | Mobile |
-- | Predecessor | Apple A9 |
Google Tensor G2 | Successor | Apple A11 Bionic |
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CPU Cores and Base FrequencyThe Google Tensor has 8 CPU cores and can calculate 8 threads in parallel. The clock frequency of the Google Tensor is 2.80 GHz while the Apple A10 Fusion has 4 CPU cores and 4 threads can calculate simultaneously. The clock frequency of the Apple A10 Fusion is at 2.34 GHz. |
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Google Tensor | Characteristic | Apple A10 Fusion |
8 | Cores | 4 |
8 | Threads | 4 |
hybrid (Prime / big.LITTLE) | Core architecture | hybrid (big.LITTLE) |
No | Hyperthreading | No |
No | Overclocking ? | No |
2.80 GHz 2x Cortex-X1 |
A-Core | 2.34 GHz 2x Hurricane |
2.25 GHz 2x Cortex-A76 |
B-Core | 1.09 GHz 2x Zephyr |
1.80 GHz 4x Cortex-A55 |
C-Core | -- |
NPU AI performanceThe 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. |
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Google Tensor | Characteristic | Apple A10 Fusion |
Google Tensor AI | AI hardware | -- |
Google Edge TPU @ 1.6 TOPS | AI specifications | -- |
-- | NPU + CPU + iGPU | -- |
Integrated graphics (iGPU)The Google Tensor or Apple A10 Fusion has integrated graphics, called iGPU for short. The iGPU uses the system's main memory as graphics memory and sits on the processor's die. |
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ARM Mali-G78 MP20 | GPU | Apple A10 |
0.76 GHz | GPU frequency | 0.90 GHz |
-- | GPU (Turbo) | -- |
Vallhall 2 | GPU Generation | 7 |
5 nm | Technology | 16 nm |
1 | Max. displays | 1 |
20 | Compute units | 24 |
320 | Shader | 192 |
No | Hardware Raytracing | No |
No | Frame Generation | No |
-- | Max. GPU Memory | 4 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 Mali-G78 MP20 | GPU | Apple A10 |
Decode / Encode | Codec h265 / HEVC (8 bit) | Decode |
Decode / Encode | Codec h265 / HEVC (10 bit) | Decode |
Decode / Encode | Codec h264 | Decode / Encode |
Decode / Encode | Codec VP9 | Decode |
Decode / Encode | Codec VP8 | Decode |
Decode | Codec AV1 | No |
Decode / Encode | Codec AVC | Decode |
Decode / Encode | Codec VC-1 | Decode |
Decode / Encode | Codec JPEG | Decode / Encode |
Memory & PCIeThe Google Tensor can use up to 12 GB of memory in 2 memory channels. The maximum memory bandwidth is 53.0 GB/s. The Apple A10 Fusion supports up to 3 GB of memory in 1 memory channels and achieves a memory bandwidth of up to 25.6 GB/s. |
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Google Tensor | Characteristic | Apple A10 Fusion |
LPDDR5-5500 | Memory | LPDDR4-3200 |
12 GB | Max. Memory | 3 GB |
2 (Dual Channel) | Memory channels | 1 (Single Channel) |
53.0 GB/s | Max. Bandwidth | 25.6 GB/s |
No | ECC | No |
8.00 MB | L2 Cache | 3.00 MB |
-- | L3 Cache | 4.00 MB |
-- | PCIe version | -- |
-- | PCIe lanes | -- |
-- | PCIe Bandwidth | -- |
Thermal ManagementThe thermal design power (TDP for short) of the Google Tensor is 10 W, while the Apple A10 Fusion has a TDP of 5 W. The TDP specifies the necessary cooling solution that is required to cool the processor sufficiently. |
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Google Tensor | Characteristic | Apple A10 Fusion |
10 W | TDP (PL1 / PBP) | 5 W |
-- | TDP (PL2) | -- |
-- | TDP up | -- |
-- | TDP down | -- |
-- | Tjunction max. | -- |
Technical detailsThe Google Tensor is manufactured in 5 nm and has 8.00 MB cache. The Apple A10 Fusion is manufactured in 10 nm and has a 7.00 MB cache. |
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Google Tensor | Characteristic | Apple A10 Fusion |
5 nm | Technology | 10 nm |
Unknown | Chip design | Chiplet |
Armv8-A (64 bit) | Instruction set (ISA) | Armv8-A (64 bit) |
-- | ISA extensions | -- |
-- | Socket | -- |
None | Virtualization | None |
No | AES-NI | No |
Android | Operating systems | iOS |
Q4/2021 | Release date | Q3/2016 |
-- | Release price | -- |
show more data | show more data | |
Google Tensor
8C 8T @ 2.80 GHz |
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Apple A10 Fusion
4C 4T @ 2.34 GHz |
Google Tensor
8C 8T @ 2.80 GHz |
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Apple A10 Fusion
4C 4T @ 2.34 GHz |
Google Tensor
8C 8T @ 2.80 GHz |
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Apple A10 Fusion
4C 4T @ 2.34 GHz |
Google Tensor
8C 8T @ 2.80 GHz |
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Apple A10 Fusion
4C 4T @ 2.34 GHz |
Google Tensor
ARM Mali-G78 MP20 @ 0.76 GHz |
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Apple A10 Fusion
Apple A10 @ 0.90 GHz |
Google Tensor
8C 8T @ 2.80 GHz |
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Apple A10 Fusion
4C 4T @ 2.34 GHz |
Google Tensor
8C 8T @ 2.80 GHz |
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Apple A10 Fusion
4C 4T @ 2.34 GHz |
Google Tensor
8C 8T @ 2.80 GHz |
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Apple A10 Fusion
4C 4T @ 2.34 GHz |
Devices using this processor |
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Google Tensor | Apple A10 Fusion |
Google Pixel 6 Google Pixel 6 Pro |
Apple iPhone 7 Apple iPhone 7 Plus Apple iPad (6. Gen) |