Samsung Exynos 3475 vs Qualcomm Snapdragon 8cx
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CPU comparison with benchmarks
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| Samsung Exynos 3475 | Qualcomm Snapdragon 8cx | |
CPU comparisonSamsung Exynos 3475 or Qualcomm Snapdragon 8cx - 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 3475 has 4 cores with 4 threads and clocks with a maximum frequency of 1.30 GHz. Up to GB of memory is supported in 0 memory channels. The Samsung Exynos 3475 was released in 2015. The Qualcomm Snapdragon 8cx has 8 cores with 8 threads and clocks with a maximum frequency of 2.84 GHz. The CPU supports up to 16 GB of memory in 8 memory channels. The Qualcomm Snapdragon 8cx was released in Q4/2018. |
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| Samsung Exynos (47) | Family | Qualcomm Snapdragon (102) |
| Samsung Exynos 3400 (2) | CPU group | Qualcomm Snapdragon 8cx (2) |
| 3 | Generation | 2 |
| Cortex-A7 | Architecture | Kryo 495 |
| Mobile | Segment | Mobile |
| -- | Predecessor | -- |
| -- | Successor | -- |
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CPU Cores and Base FrequencyThe Samsung Exynos 3475 is a 4 core processor with a clock frequency of 1.30 GHz. The Qualcomm Snapdragon 8cx has 8 CPU cores with a clock frequency of 2.84 GHz. |
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| Samsung Exynos 3475 | Characteristic | Qualcomm Snapdragon 8cx |
| 4 | Cores | 8 |
| 4 | Threads | 8 |
| normal | Core architecture | hybrid (big.LITTLE) |
| No | Hyperthreading | No |
| No | Overclocking ? | No |
| 1.30 GHz 4x Cortex-A7 |
A-Core | 2.84 GHz 4x Kryo 495 Gold |
| -- | B-Core | 1.80 GHz 4x Kryo 495 Silver |
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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| Samsung Exynos 3475 | Characteristic | Qualcomm Snapdragon 8cx |
| -- | AI hardware | Qualcomm AI engine |
| -- | AI specifications | Hexagon 685 @ 3 TOPS |
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 Mali-T720 MP1 | GPU | Qualcomm Adreno 680 |
| 0.60 GHz | GPU frequency | 0.25 GHz |
| 0.60 GHz | GPU (Turbo) | 0.59 GHz |
| Midgard 3 | GPU Generation | 5 |
| 28nm | Technology | 7 nm |
| 2 | Max. displays | 2 |
| 1 | Compute units | 8 |
| 16 | Shader | 768 |
| No | Hardware Raytracing | No |
| No | Frame Generation | No |
| -- | Max. GPU Memory | 4 GB |
| 11 | DirectX Version | 12.0 |
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-T720 MP1 | GPU | Qualcomm Adreno 680 |
| No | Codec h265 / HEVC (8 bit) | Decode / Encode |
| No | Codec h265 / HEVC (10 bit) | Decode / Encode |
| Decode / Encode | Codec h264 | Decode / Encode |
| No | Codec VP9 | Decode |
| Decode / Encode | Codec VP8 | Decode / Encode |
| No | Codec AV1 | No |
| No | Codec AVC | Decode |
| No | Codec VC-1 | Decode |
| No | Codec JPEG | Decode / Encode |
Memory & PCIeThe Samsung Exynos 3475 supports a maximum of GB of memory in 0 memory channels. The Qualcomm Snapdragon 8cx can connect up to 16 GB of memory in 8 memory channels. |
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| Samsung Exynos 3475 | Characteristic | Qualcomm Snapdragon 8cx |
| LPDDR3-400 | Memory | LPDDR4X-4266 |
| Max. Memory | 16 GB | |
| 0 | Memory channels | 8 (Octa Channel) |
| -- | Max. Bandwidth | 68.2 GB/s |
| No | ECC | No |
| -- | L2 Cache | -- |
| -- | L3 Cache | 2.00 MB |
| -- | PCIe version | -- |
| -- | PCIe lanes | -- |
| -- | PCIe Bandwidth | -- |
Thermal ManagementThe TDP (Thermal Design Power) of a processor specifies the required cooling solution. The Samsung Exynos 3475 has a TDP of --, that of the Qualcomm Snapdragon 8cx is 7 W. |
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| Samsung Exynos 3475 | Characteristic | Qualcomm Snapdragon 8cx |
| -- | TDP (PL1 / PBP) | 7 W |
| -- | TDP (PL2) | -- |
| -- | TDP up | -- |
| -- | TDP down | -- |
| -- | Tjunction max. | -- |
Technical detailsThe Samsung Exynos 3475 has a 0.00 MB cache, while the Qualcomm Snapdragon 8cx cache has a total of 2.00 MB. |
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| Samsung Exynos 3475 | Characteristic | Qualcomm Snapdragon 8cx |
| 28 nm | Technology | 7 nm |
| Unknown | Chip design | Chiplet |
| Armv7-A (32 bit) | Instruction set (ISA) | Armv8-A (64 bit) |
| -- | ISA extensions | -- |
| -- | Socket | -- |
| None | Virtualization | None |
| No | AES-NI | No |
| Android | Operating systems | Android, Windows 10 (ARM) |
| 2015 | Release date | Q4/2018 |
| -- | Release price | -- |
| show more data | show more data | |
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8C 8T @ 2.84 GHz buy now on Amazon and save!
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Rate these processors
iGPU - FP32 Performance (Single-precision GFLOPS)
The theoretical computing performance of the internal graphics unit of the processor with simple accuracy (32 bit) in GFLOPS. GFLOPS indicates how many billion floating point operations the iGPU can perform per second.
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Samsung Exynos 3475
ARM Mali-T720 MP1 @ 0.60 GHz |
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Qualcomm Snapdragon 8cx
Qualcomm Adreno 680 @ 0.59 GHz |
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Geekbench 5, 64bit (Single-Core)
Geekbench 5 is a cross plattform benchmark that heavily uses the systems memory. A fast memory will push the result a lot. The single-core test only uses one CPU core, the amount of cores or hyperthreading ability doesn't count.
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Samsung Exynos 3475
4C 4T @ 1.30 GHz |
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Qualcomm Snapdragon 8cx
8C 8T @ 2.84 GHz |
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Geekbench 5, 64bit (Multi-Core)
Geekbench 5 is a cross plattform benchmark that heavily uses the systems memory. A fast memory will push the result a lot. The multi-core test involves all CPU cores and taks a big advantage of hyperthreading.
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Samsung Exynos 3475
4C 4T @ 1.30 GHz |
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Qualcomm Snapdragon 8cx
8C 8T @ 2.84 GHz |
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Performance for Artificial Intelligence (AI) and Machine Learning (ML)
Processors 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. The performance is given in the number (trillions) of arithmetic operations per second (TOPS).
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Samsung Exynos 3475
4C 4T @ 1.30 GHz |
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Qualcomm Snapdragon 8cx
8C 8T @ 2.84 GHz |
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Devices using this processor |
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| Samsung Exynos 3475 | Qualcomm Snapdragon 8cx |
| Unknown | Lenovo Flex 5G Lenovo Yoga C 5G Samsung Galaxy Book S |
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