Samsung Exynos 3250 vs Qualcomm Snapdragon 8cx
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CPU comparison with benchmarks
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| Samsung Exynos 3250 | Qualcomm Snapdragon 8cx | |
CPU comparisonIn this CPU comparison, we compare the Samsung Exynos 3250 and the Qualcomm Snapdragon 8cx and use benchmarks to check which processor is faster.
We compare the Samsung Exynos 3250 2 core processor released in 2014 with the Qualcomm Snapdragon 8cx which has 8 CPU cores and was introduced in Q4/2018. |
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| Samsung Exynos (47) | Family | Qualcomm Snapdragon (104) |
| Samsung Exynos 3200 (1) | 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 3250 is a 2 core processor with a clock frequency of 1.00 GHz. The processor can compute 2 threads at the same time. The Qualcomm Snapdragon 8cx clocks with 2.84 GHz, has 8 CPU cores and can calculate 8 threads in parallel. |
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| Samsung Exynos 3250 | Characteristic | Qualcomm Snapdragon 8cx |
| 2 | Cores | 8 |
| 2 | Threads | 8 |
| normal | Core architecture | hybrid (big.LITTLE) |
| No | Hyperthreading | No |
| No | Overclocking ? | No |
| 1.00 GHz 2x Cortex-A7 |
A-Core | 2.84 GHz 4x Kryo 495 Gold |
| -- | B-Core | 1.80 GHz 4x Kryo 495 Silver |
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 3250 | Characteristic | Qualcomm Snapdragon 8cx |
| -- | AI hardware | Qualcomm AI engine |
| -- | AI specifications | Hexagon 685 @ 3 TOPS |
| -- | NPU + CPU + iGPU | -- |
Integrated graphics (iGPU)Graphics (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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| ARM Mali-400 MP2 | GPU | Qualcomm Adreno 680 |
| 0.45 GHz | GPU frequency | 0.25 GHz |
| -- | GPU (Turbo) | 0.59 GHz |
| Utgard | GPU Generation | 5 |
| 28nm | Technology | 7 nm |
| 1 | Max. displays | 2 |
| 2 | Compute units | 8 |
| 32 | Shader | 768 |
| No | Hardware Raytracing | No |
| No | Frame Generation | No |
| -- | Max. GPU Memory | 4 GB |
| 0 | 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-400 MP2 | GPU | Qualcomm Adreno 680 |
| No | Codec h265 / HEVC (8 bit) | Decode / Encode |
| No | Codec h265 / HEVC (10 bit) | Decode / Encode |
| No | Codec h264 | Decode / Encode |
| No | Codec VP9 | Decode |
| No | Codec VP8 | Decode / Encode |
| No | Codec AV1 | No |
| No | Codec AVC | Decode |
| No | Codec VC-1 | Decode |
| No | Codec JPEG | Decode / Encode |
Memory & PCIeUp to GB of memory in a maximum of 0 memory channels is supported by the Samsung Exynos 3250, while the Qualcomm Snapdragon 8cx supports a maximum of 16 GB of memory with a maximum memory bandwidth of 68.2 GB/s enabled. |
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| Samsung Exynos 3250 | Characteristic | Qualcomm Snapdragon 8cx |
| LPDDR2-400 | 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 Samsung Exynos 3250 has a TDP of --. The TDP of the Qualcomm Snapdragon 8cx is 7 W. System integrators use the TDP of the processor as a guide when dimensioning the cooling solution. |
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| Samsung Exynos 3250 | Characteristic | Qualcomm Snapdragon 8cx |
| -- | TDP (PL1 / PBP) | 7 W |
| -- | TDP (PL2) | -- |
| -- | TDP up | -- |
| -- | TDP down | -- |
| -- | Tjunction max. | -- |
Technical detailsThe Samsung Exynos 3250 has 0.00 MB cache and is manufactured in 28 nm. The cache of Qualcomm Snapdragon 8cx is at 2.00 MB. The processor is manufactured in 7 nm. |
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| Samsung Exynos 3250 | 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) |
| 2014 | Release date | Q4/2018 |
| -- | Release price | -- |
| show more data | show more data | |
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2C 2T @ 1.00 GHz buy now on Amazon and save!
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 3250
ARM Mali-400 MP2 @ 0.45 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 3250
2C 2T @ 1.00 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 3250
2C 2T @ 1.00 GHz |
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Qualcomm Snapdragon 8cx
8C 8T @ 2.84 GHz |
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AI performance (NPU)
The performance values of the processor's AI unit. The isolated NPU performance is given here, the total AI performance (NPU+CPU+iGPU) can be higher.
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).
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 3250
2C 2T @ 1.00 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 3250 | Qualcomm Snapdragon 8cx |
| Samsung Google Nexus S Samsung Galaxy S 4G |
Lenovo Flex 5G Lenovo Yoga C 5G Samsung Galaxy Book S |
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