Apple M2 | Google Tensor G2 | |
CPU comparisonIn this CPU comparison, we compare the Apple M2 and the Google Tensor G2 and use benchmarks to check which processor is faster.
We compare the Apple M2 8 core processor released in Q2/2022 with the Google Tensor G2 which has 8 CPU cores and was introduced in Q4/2022. |
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Apple M series (23) | Family | Google Tensor (3) |
Apple M2 (8) | CPU group | Google Tensor G2 (1) |
2 | Generation | 2 |
M2 | Architecture | G2 |
Mobile | Segment | Mobile |
Apple M1 | Predecessor | Google Tensor |
Apple M3 | Successor | -- |
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CPU Cores and Base FrequencyThe Apple M2 is a 8 core processor with a clock frequency of 0.66 GHz (3.50 GHz). The processor can compute 8 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 M2 | Characteristic | Google Tensor G2 |
8 | Cores | 8 |
8 | Threads | 8 |
hybrid (big.LITTLE) | Core architecture | hybrid (Prime / big.LITTLE) |
No | Hyperthreading | No |
No | Overclocking ? | No |
0.66 GHz (3.50 GHz) 4x Avalanche |
A-Core | 2.85 GHz 2x Cortex-X1 |
0.60 GHz (2.42 GHz) 4x Blizzard |
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 M2 | Characteristic | Google Tensor G2 |
Apple Neural Engine | AI hardware | Google Tensor AI |
16 Neural cores @ 15.8 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 M2 (10 Core) | GPU | ARM Mali-G710 MP7 |
0.45 GHz | GPU frequency | 0.90 GHz |
1.40 GHz | GPU (Turbo) | -- |
2 | GPU Generation | Vallhall 3 |
5 nm | Technology | 4 nm |
2 | Max. displays | 1 |
160 | Compute units | 7 |
1280 | Shader | -- |
No | Hardware Raytracing | No |
No | Frame Generation | No |
24 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 M2 (10 Core) | 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 | 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 24 GB of memory in a maximum of 2 memory channels is supported by the Apple M2, 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 M2 | Characteristic | Google Tensor G2 |
LPDDR5-6400 | Memory | LPDDR5-5500 |
24 GB | Max. Memory | 12 GB |
2 (Dual Channel) | Memory channels | 2 (Dual Channel) |
102.4 GB/s | Max. Bandwidth | 53.0 GB/s |
No | ECC | No |
20.00 MB | L2 Cache | 8.00 MB |
-- | L3 Cache | 4.00 MB |
4.0 | PCIe version | -- |
-- | PCIe lanes | -- |
-- | PCIe Bandwidth | -- |
Thermal ManagementThe Apple M2 has a TDP of 20 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 M2 | Characteristic | Google Tensor G2 |
20 W | TDP (PL1 / PBP) | 10 W |
-- | TDP (PL2) | -- |
30 W | TDP up | -- |
10 W | TDP down | -- |
100 °C | Tjunction max. | -- |
Technical detailsThe Apple M2 has 20.00 MB cache and is manufactured in 5 nm. The cache of Google Tensor G2 is at 12.00 MB. The processor is manufactured in 4 nm. |
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Apple M2 | Characteristic | Google Tensor G2 |
5 nm | Technology | 4 nm |
Chiplet | Chip design | Chiplet |
Armv8.5-A (64 bit) | Instruction set (ISA) | Armv8-A (64 bit) |
Rosetta 2 x86-Emulation | ISA extensions | -- |
-- | Socket | -- |
Apple Virtualization Framework | Virtualization | None |
Yes | AES-NI | No |
macOS, iPadOS | Operating systems | Android |
Q2/2022 | Release date | Q4/2022 |
-- | Release price | -- |
show more data | show more data | |
Apple M2
8C 8T @ 3.50 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Apple M2
8C 8T @ 3.50 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Apple M2
8C 8T @ 3.50 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Apple M2
8C 8T @ 3.50 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Apple M2
Apple M2 (10 Core) @ 1.40 GHz |
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Google Tensor G2
ARM Mali-G710 MP7 @ 0.90 GHz |
Apple M2
8C 8T @ 0.66 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Apple M2
8C 8T @ 3.50 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Apple M2
8C 8T @ 3.50 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Apple M2
8C 8T @ 3.50 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Apple M2
8C 8T @ 3.50 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Apple M2
8C 8T @ 0.66 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Apple M2
8C 8T @ 3.50 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Apple M2
8C 8T @ 3.50 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Apple M2
8,558 CB R23 MC @ 20 W |
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Google Tensor G2
2.85 GHz |
Devices using this processor |
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Apple M2 | Google Tensor G2 |
Apple MacBook Air 14 (2022) Apple MacBook Pro 13 (2022) |
Google Pixel 7 Google Pixel 7 Pro |