Google Tensor G2 | Apple A10X Fusion | |
CPU comparisonGoogle Tensor G2 or Apple A10X 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 G2 has 8 cores with 8 threads and clocks with a maximum frequency of 2.85 GHz. Up to 12 GB of memory is supported in 2 memory channels. The Google Tensor G2 was released in Q4/2022. The Apple A10X Fusion has 6 cores with 6 threads and clocks with a maximum frequency of 2.36 GHz. The CPU supports up to 3 GB of memory in 2 memory channels. The Apple A10X Fusion was released in Q2/2017. |
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Google Tensor (3) | Family | Apple A series (22) |
Google Tensor G2 (1) | CPU group | Apple A10/A10X (2) |
2 | Generation | 10 |
G2 | Architecture | A10 |
Mobile | Segment | Mobile |
Google Tensor | Predecessor | Apple A9X |
-- | Successor | Apple A12Z Bionic |
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CPU Cores and Base FrequencyThe Google Tensor G2 has 8 CPU cores and can calculate 8 threads in parallel. The clock frequency of the Google Tensor G2 is 2.85 GHz while the Apple A10X Fusion has 6 CPU cores and 6 threads can calculate simultaneously. The clock frequency of the Apple A10X Fusion is at 2.36 GHz. |
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Google Tensor G2 | Characteristic | Apple A10X Fusion |
8 | Cores | 6 |
8 | Threads | 6 |
hybrid (Prime / big.LITTLE) | Core architecture | hybrid (big.LITTLE) |
No | Hyperthreading | No |
No | Overclocking ? | No |
2.85 GHz 2x Cortex-X1 |
A-Core | 2.36 GHz 3x Hurricane |
2.35 GHz 2x Cortex-A78 |
B-Core | 1.30 GHz 3x 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 G2 | Characteristic | Apple A10X Fusion |
Google Tensor AI | AI hardware | -- |
Google Edge TPU @ 4 TOPS | AI specifications | -- |
-- | NPU + CPU + iGPU | -- |
Integrated graphics (iGPU)The Google Tensor G2 or Apple A10X 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-G710 MP7 | GPU | Apple A10X |
0.90 GHz | GPU frequency | 1.00 GHz |
-- | GPU (Turbo) | -- |
Vallhall 3 | GPU Generation | 7 |
4 nm | Technology | 10 nm |
1 | Max. displays | 1 |
7 | Compute units | 48 |
-- | Shader | 384 |
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-G710 MP7 | GPU | Apple A10X |
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 G2 can use up to 12 GB of memory in 2 memory channels. The maximum memory bandwidth is 53.0 GB/s. The Apple A10X Fusion supports up to 3 GB of memory in 2 memory channels and achieves a memory bandwidth of up to 51.2 GB/s. |
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Google Tensor G2 | Characteristic | Apple A10X Fusion |
LPDDR5-5500 | Memory | LPDDR4-3200 |
12 GB | Max. Memory | 3 GB |
2 (Dual Channel) | Memory channels | 2 (Dual Channel) |
53.0 GB/s | Max. Bandwidth | 51.2 GB/s |
No | ECC | No |
8.00 MB | L2 Cache | 8.00 MB |
4.00 MB | L3 Cache | -- |
-- | PCIe version | -- |
-- | PCIe lanes | -- |
-- | PCIe Bandwidth | -- |
Thermal ManagementThe thermal design power (TDP for short) of the Google Tensor G2 is 10 W, while the Apple A10X Fusion has a TDP of 8 W. The TDP specifies the necessary cooling solution that is required to cool the processor sufficiently. |
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Google Tensor G2 | Characteristic | Apple A10X Fusion |
10 W | TDP (PL1 / PBP) | 8 W |
-- | TDP (PL2) | -- |
-- | TDP up | -- |
-- | TDP down | -- |
-- | Tjunction max. | -- |
Technical detailsThe Google Tensor G2 is manufactured in 4 nm and has 12.00 MB cache. The Apple A10X Fusion is manufactured in 10 nm and has a 8.00 MB cache. |
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Google Tensor G2 | Characteristic | Apple A10X Fusion |
4 nm | Technology | 10 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 |
Android | Operating systems | iOS |
Q4/2022 | Release date | Q2/2017 |
-- | Release price | -- |
show more data | show more data | |
Google Tensor G2
8C 8T @ 2.85 GHz |
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Apple A10X Fusion
6C 6T @ 2.36 GHz |
Google Tensor G2
8C 8T @ 2.85 GHz |
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Apple A10X Fusion
6C 6T @ 2.36 GHz |
Google Tensor G2
8C 8T @ 2.85 GHz |
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Apple A10X Fusion
6C 6T @ 2.36 GHz |
Google Tensor G2
8C 8T @ 2.85 GHz |
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Apple A10X Fusion
6C 6T @ 2.36 GHz |
Google Tensor G2
ARM Mali-G710 MP7 @ 0.90 GHz |
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Apple A10X Fusion
Apple A10X @ 1.00 GHz |
Google Tensor G2
8C 8T @ 2.85 GHz |
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Apple A10X Fusion
6C 6T @ 2.36 GHz |
Google Tensor G2
8C 8T @ 2.85 GHz |
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Apple A10X Fusion
6C 6T @ 2.36 GHz |
Google Tensor G2
8C 8T @ 2.85 GHz |
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Apple A10X Fusion
6C 6T @ 2.36 GHz |
Devices using this processor |
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Google Tensor G2 | Apple A10X Fusion |
Google Pixel 7 Google Pixel 7 Pro |
Apple iPad Pro (2. Gen) Apple TV 4K |