Google Tensor G3 | Samsung Exynos 2200 | |
CPU comparisonGoogle Tensor G3 or Samsung Exynos 2200 - 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 Samsung Exynos 2200 has 8 cores with 8 threads and clocks with a maximum frequency of 2.80 GHz. The CPU supports up to 12 GB of memory in 4 memory channels. The Samsung Exynos 2200 was released in Q1/2022. |
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Google Tensor (3) | Family | Samsung Exynos (46) |
Google Tensor G3 (1) | CPU group | Samsung Exynos 2200 (1) |
3 | Generation | 6 |
G3 | Architecture | Cortex-X2/-A710/-A510 |
Mobile | Segment | Mobile |
Google Tensor | Predecessor | Samsung Exynos 2100 |
-- | 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 Samsung Exynos 2200 has 8 CPU cores with a clock frequency of 2.80 GHz. |
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Google Tensor G3 | Characteristic | Samsung Exynos 2200 |
8 | Cores | 8 |
8 | Threads | 8 |
hybrid (Prime / big.LITTLE) | Core architecture | hybrid (Prime / big.LITTLE) |
No | Hyperthreading | No |
No | Overclocking ? | No |
2.91 GHz 1x Cortex-X3 |
A-Core | 2.80 GHz 1x Cortex-X2 |
2.37 GHz 4x Cortex-A715 |
B-Core | 2.52 GHz 3x Cortex-A710 |
1.70 GHz 4x Cortex-A510 |
C-Core | 1.82 GHz 4x Cortex-A510 |
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 | Samsung Exynos 2200 |
Google Tensor AI | AI hardware | -- |
Google Edge TPU | AI specifications | -- |
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 | Samsung Xclipse 920 |
0.89 GHz | GPU frequency | 1.30 GHz |
-- | GPU (Turbo) | 1.30 GHz |
Vallhall | GPU Generation | 1 |
4 nm | Technology | 4 nm |
0 | Max. displays | 0 |
10 | Compute units | 24 |
-- | Shader | 384 |
No | Hardware Raytracing | No |
No | Frame Generation | No |
-- | Max. GPU Memory | 4 GB |
12 | 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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ARM Immortalis-G715 MP10 | GPU | Samsung Xclipse 920 |
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 | No |
Decode / Encode | Codec AV1 | Decode |
Decode / Encode | Codec AVC | No |
Decode / Encode | Codec VC-1 | No |
Decode / Encode | Codec JPEG | No |
Memory & PCIeThe Google Tensor G3 supports a maximum of 12 GB of memory in 2 memory channels. The Samsung Exynos 2200 can connect up to 12 GB of memory in 4 memory channels. |
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Google Tensor G3 | Characteristic | Samsung Exynos 2200 |
LPDDR5-5500 | Memory | LPDDR5-6400 |
12 GB | Max. Memory | 12 GB |
2 (Dual Channel) | Memory channels | 4 (Quad Channel) |
53.0 GB/s | Max. Bandwidth | 51.2 GB/s |
No | ECC | No |
-- | L2 Cache | -- |
-- | L3 Cache | -- |
-- | 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 Samsung Exynos 2200 is --. |
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Google Tensor G3 | Characteristic | Samsung Exynos 2200 |
10 W | TDP (PL1 / PBP) | -- |
-- | TDP (PL2) | -- |
-- | TDP up | -- |
-- | TDP down | -- |
-- | Tjunction max. | -- |
Technical detailsThe Google Tensor G3 has a 0.00 MB cache, while the Samsung Exynos 2200 cache has a total of 0.00 MB. |
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Google Tensor G3 | Characteristic | Samsung Exynos 2200 |
4 nm | Technology | 4 nm |
Chiplet | Chip design | Unknown |
Armv9-A (64 bit) | Instruction set (ISA) | Armv9-A (64 bit) |
-- | ISA extensions | -- |
-- | Socket | -- |
None | Virtualization | None |
No | AES-NI | No |
Android | Operating systems | Android |
Q3/2023 | Release date | Q1/2022 |
-- | Release price | -- |
show more data | show more data | |
Google Tensor G3
8C 8T @ 2.91 GHz |
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Samsung Exynos 2200
8C 8T @ 2.80 GHz |
Google Tensor G3
8C 8T @ 2.91 GHz |
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Samsung Exynos 2200
8C 8T @ 2.80 GHz |
Google Tensor G3
8C 8T @ 2.91 GHz |
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Samsung Exynos 2200
8C 8T @ 2.80 GHz |
Google Tensor G3
8C 8T @ 2.91 GHz |
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Samsung Exynos 2200
8C 8T @ 2.80 GHz |
Google Tensor G3
ARM Immortalis-G715 MP10 @ 0.89 GHz |
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Samsung Exynos 2200
Samsung Xclipse 920 @ 1.30 GHz |
Google Tensor G3
8C 8T @ 2.91 GHz |
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Samsung Exynos 2200
8C 8T @ 2.80 GHz |
Devices using this processor |
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Google Tensor G3 | Samsung Exynos 2200 |
Google Pixel 8 Google Pixel 8 Pro |
Samsung Galaxy S22 Samsung Galaxy S22 Plus Samsung Galaxy S22 Ultra |