Qualcomm Snapdragon 8cx | Google Tensor G2 | |
CPU comparisonIn this CPU comparison, we compare the Qualcomm Snapdragon 8cx and the Google Tensor G2 and use benchmarks to check which processor is faster.
We compare the Qualcomm Snapdragon 8cx 8 core processor released in Q4/2018 with the Google Tensor G2 which has 8 CPU cores and was introduced in Q4/2022. |
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Qualcomm Snapdragon (102) | Family | Google Tensor (3) |
Qualcomm Snapdragon 8cx (2) | CPU group | Google Tensor G2 (1) |
2 | Generation | 2 |
Kryo 495 | Architecture | G2 |
Mobile | Segment | Mobile |
-- | Predecessor | Google Tensor |
-- | Successor | -- |
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CPU Cores and Base FrequencyThe Qualcomm Snapdragon 8cx is a 8 core processor with a clock frequency of 2.84 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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Qualcomm Snapdragon 8cx | 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 |
2.84 GHz 4x Kryo 495 Gold |
A-Core | 2.85 GHz 2x Cortex-X1 |
1.80 GHz 4x Kryo 495 Silver |
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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Qualcomm Snapdragon 8cx | Characteristic | Google Tensor G2 |
Qualcomm AI engine | AI hardware | Google Tensor AI |
Hexagon 685 @ 3 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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Qualcomm Adreno 680 | GPU | ARM Mali-G710 MP7 |
0.25 GHz | GPU frequency | 0.90 GHz |
0.59 GHz | GPU (Turbo) | -- |
5 | GPU Generation | Vallhall 3 |
7 nm | Technology | 4 nm |
2 | Max. displays | 1 |
8 | Compute units | 7 |
768 | Shader | -- |
No | Hardware Raytracing | No |
No | Frame Generation | No |
4 GB | Max. GPU Memory | -- |
12.0 | 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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Qualcomm Adreno 680 | 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 | Codec VP9 | Decode / Encode |
Decode / Encode | 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 16 GB of memory in a maximum of 8 memory channels is supported by the Qualcomm Snapdragon 8cx, 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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Qualcomm Snapdragon 8cx | Characteristic | Google Tensor G2 |
LPDDR4X-4266 | Memory | LPDDR5-5500 |
16 GB | Max. Memory | 12 GB |
8 (Octa Channel) | Memory channels | 2 (Dual Channel) |
68.2 GB/s | Max. Bandwidth | 53.0 GB/s |
No | ECC | No |
-- | L2 Cache | 8.00 MB |
2.00 MB | L3 Cache | 4.00 MB |
-- | PCIe version | -- |
-- | PCIe lanes | -- |
-- | PCIe Bandwidth | -- |
Thermal ManagementThe Qualcomm Snapdragon 8cx has a TDP of 7 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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Qualcomm Snapdragon 8cx | Characteristic | Google Tensor G2 |
7 W | TDP (PL1 / PBP) | 10 W |
-- | TDP (PL2) | -- |
-- | TDP up | -- |
-- | TDP down | -- |
-- | Tjunction max. | -- |
Technical detailsThe Qualcomm Snapdragon 8cx has 2.00 MB cache and is manufactured in 7 nm. The cache of Google Tensor G2 is at 12.00 MB. The processor is manufactured in 4 nm. |
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Qualcomm Snapdragon 8cx | Characteristic | Google Tensor G2 |
7 nm | Technology | 4 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, Windows 10 (ARM) | Operating systems | Android |
Q4/2018 | Release date | Q4/2022 |
-- | Release price | -- |
show more data | show more data | |
Qualcomm Snapdragon 8cx
8C 8T @ 2.84 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Qualcomm Snapdragon 8cx
8C 8T @ 2.84 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Qualcomm Snapdragon 8cx
Qualcomm Adreno 680 @ 0.59 GHz |
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Google Tensor G2
ARM Mali-G710 MP7 @ 0.90 GHz |
Qualcomm Snapdragon 8cx
8C 8T @ 2.84 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Qualcomm Snapdragon 8cx
8C 8T @ 2.84 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Qualcomm Snapdragon 8cx
8C 8T @ 2.84 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Qualcomm Snapdragon 8cx
8C 8T @ 2.84 GHz |
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Google Tensor G2
8C 8T @ 2.85 GHz |
Devices using this processor |
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Qualcomm Snapdragon 8cx | Google Tensor G2 |
Lenovo Flex 5G Lenovo Yoga C 5G Samsung Galaxy Book S |
Google Pixel 7 Google Pixel 7 Pro |