Samsung Exynos 980 | Google Tensor G2 | |
CPU comparisonSamsung Exynos 980 or Google Tensor G2 - 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 Samsung Exynos 980 has 8 cores with 8 threads and clocks with a maximum frequency of 2.20 GHz. Up to 12 GB of memory is supported in 4 memory channels. The Samsung Exynos 980 was released in Q4/2019. The Google Tensor G2 has 8 cores with 8 threads and clocks with a maximum frequency of 2.85 GHz. The CPU supports up to 12 GB of memory in 2 memory channels. The Google Tensor G2 was released in Q4/2022. |
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Samsung Exynos (47) | Family | Google Tensor (3) |
Samsung Exynos 980 (1) | CPU group | Google Tensor G2 (1) |
4 | Generation | 2 |
Cortex-A77 / Cortex-A55 | Architecture | G2 |
Mobile | Segment | Mobile |
-- | Predecessor | Google Tensor |
-- | Successor | -- |
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CPU Cores and Base FrequencyThe Samsung Exynos 980 has 8 CPU cores and can calculate 8 threads in parallel. The clock frequency of the Samsung Exynos 980 is 2.20 GHz while the Google Tensor G2 has 8 CPU cores and 8 threads can calculate simultaneously. The clock frequency of the Google Tensor G2 is at 2.85 GHz. |
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Samsung Exynos 980 | 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 |
2.20 GHz 2x Cortex-A77 |
A-Core | 2.85 GHz 2x Cortex-X1 |
1.80 GHz 6x Cortex-A55 |
B-Core | 2.35 GHz 2x Cortex-A78 |
-- | C-Core | 1.80 GHz 4x Cortex-A55 |
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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Samsung Exynos 980 | Characteristic | Google Tensor G2 |
-- | AI hardware | Google Tensor AI |
-- | AI specifications | Google Edge TPU @ 4 TOPS |
-- | NPU + CPU + iGPU | -- |
Integrated graphics (iGPU)The Samsung Exynos 980 or Google Tensor G2 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-G76 MP5 | GPU | ARM Mali-G710 MP7 |
0.72 GHz | GPU frequency | 0.90 GHz |
0.72 GHz | GPU (Turbo) | -- |
Bifrost 3 | GPU Generation | Vallhall 3 |
7 nm | Technology | 4 nm |
2 | Max. displays | 1 |
5 | Compute units | 7 |
80 | Shader | -- |
No | Hardware Raytracing | No |
No | Frame Generation | No |
4 GB | Max. GPU Memory | -- |
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 Mali-G76 MP5 | 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 / Encode | Codec AVC | Decode / Encode |
Decode / Encode | Codec VC-1 | Decode / Encode |
Decode / Encode | Codec JPEG | Decode / Encode |
Memory & PCIeThe Samsung Exynos 980 can use up to 12 GB of memory in 4 memory channels. The maximum memory bandwidth is --. The Google Tensor G2 supports up to 12 GB of memory in 2 memory channels and achieves a memory bandwidth of up to 53.0 GB/s. |
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Samsung Exynos 980 | Characteristic | Google Tensor G2 |
LPDDR4X-1866 | Memory | LPDDR5-5500 |
12 GB | Max. Memory | 12 GB |
4 (Quad Channel) | Memory channels | 2 (Dual Channel) |
-- | Max. Bandwidth | 53.0 GB/s |
No | ECC | No |
2.00 MB | L2 Cache | 8.00 MB |
-- | L3 Cache | 4.00 MB |
-- | PCIe version | -- |
-- | PCIe lanes | -- |
-- | PCIe Bandwidth | -- |
Thermal ManagementThe thermal design power (TDP for short) of the Samsung Exynos 980 is --, while the Google Tensor G2 has a TDP of 10 W. The TDP specifies the necessary cooling solution that is required to cool the processor sufficiently. |
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Samsung Exynos 980 | Characteristic | Google Tensor G2 |
-- | TDP (PL1 / PBP) | 10 W |
-- | TDP (PL2) | -- |
-- | TDP up | -- |
-- | TDP down | -- |
-- | Tjunction max. | -- |
Technical detailsThe Samsung Exynos 980 is manufactured in 8 nm and has 2.00 MB cache. The Google Tensor G2 is manufactured in 4 nm and has a 12.00 MB cache. |
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Samsung Exynos 980 | Characteristic | Google Tensor G2 |
8 nm | Technology | 4 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 | Android |
Q4/2019 | Release date | Q4/2022 |
-- | Release price | -- |
show more data | show more data | |
Samsung Exynos 980
ARM Mali-G76 MP5 @ 0.72 GHz |
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Google Tensor G2
ARM Mali-G710 MP7 @ 0.90 GHz |
Samsung Exynos 980
8C 8T @ 2.20 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Samsung Exynos 980
8C 8T @ 2.20 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Samsung Exynos 980
8C 8T @ 2.20 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Samsung Exynos 980
8C 8T @ 2.20 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Samsung Exynos 980
8C 8T @ 2.20 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Samsung Exynos 980
8C 8T @ 2.20 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Samsung Exynos 980
8C 8T @ 2.20 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Devices using this processor |
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Samsung Exynos 980 | Google Tensor G2 |
Unknown | Google Pixel 7 Google Pixel 7 Pro |