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Samsung Exynos 5430 vs Qualcomm Snapdragon 435

Samsung Exynos 5430

The Samsung Exynos 5430 operates with 8 cores and 8 CPU threads. It run at 2.00 GHz base 1.40 GHz all cores while the TDP is set at .The processor is attached to the N/A CPU socket. This version includes -- of L3 cache on one chip, supports 0 memory channels to support LPDDR3e-1066 RAM and features PCIe Gen lanes. Tjunction keeps below -- degrees C. In particular, Cortex-A15 / Cortex-A7 Architecture is enhanced with 20 nm technology and supports None. The product was launched on Q3/2014

Samsung Exynos 5430

The Qualcomm Snapdragon 435 operates with 853 cores and 8 CPU threads. It run at -- base all cores while the TDP is set at .The processor is attached to the N/A CPU socket. This version includes -- of L3 cache on one chip, supports 1 memory channels to support LPDDR3-800 RAM and features PCIe Gen lanes. Tjunction keeps below -- degrees C. In particular, Cortex-A53 Architecture is enhanced with 28 nm technology and supports None. The product was launched on Q4/2016


Compare Detail

2.00 GHz Frequency 1.40 GHz
8 Cores 853
2.00 GHz Turbo (1 Core) --
1.40 GHz Turbo (All Cores)
uncheck No Hyperthreading No
uncheck No Overclocking No uncheck
hybrid (big.LITTLE) Core Architecture normal
ARM Mali-T628 MP6 GPU Qualcomm Adreno 505
0.60 GHz GPU (Turbo) 0.45 GHz
20 nm Technology 28 nm
0.60 GHz GPU (Turbo) 0.45 GHz
11 DirectX Version 11
1 Max. displays 0
LPDDR3e-1066 Memory LPDDR3-800
0 Memory channels 1
Max memory
uncheck No ECC No uncheck
2.50 MB L2 Cache --
-- L3 Cache --
PCIe version
PCIe lanes
20 nm Technology 28 nm
N/A Socket N/A
TDP
None Virtualization None
Q3/2014 Release date Q4/2016

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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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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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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Electric Usage Estimate

Electric Usage Estimate

Electric Usage Estimate

Electric Usage Estimate

Samsung Exynos 5430 Qualcomm Snapdragon 435
Max TDP
NA Power consumption per day (kWh) NA
NA Running cost per day NA
NA Power consumption per year (kWh) NA
NA Running cost per year NA

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