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Samsung Exynos 3475 vs Qualcomm Snapdragon 425

Samsung Exynos 3475

The Samsung Exynos 3475 operates with 47 cores and 4 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 0 memory channels to support LPDDR3-400 RAM and features PCIe Gen lanes. Tjunction keeps below -- degrees C. In particular, Cortex-A7 Architecture is enhanced with 28 nm technology and supports None. The product was launched on 2015

Samsung Exynos 3475

The Qualcomm Snapdragon 425 operates with 453 cores and 4 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 LPDDR3-667 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 Q3/2016


Compare Detail

1.30 GHz Frequency 1.40 GHz
47 Cores 453
-- Turbo (1 Core) --
Turbo (All Cores)
uncheck No Hyperthreading No
uncheck No Overclocking No uncheck
normal Core Architecture normal
ARM Mali-T720 MP1 GPU Qualcomm Adreno 308
0.60 GHz GPU (Turbo) 0.50 GHz
28 nm Technology 28 nm
0.60 GHz GPU (Turbo) 0.50 GHz
11 DirectX Version 11
2 Max. displays 0
LPDDR3-400 Memory LPDDR3-667
0 Memory channels 1
Max memory
uncheck No ECC No uncheck
-- L2 Cache --
-- L3 Cache --
PCIe version
PCIe lanes
28 nm Technology 28 nm
N/A Socket N/A
TDP
None Virtualization None
2015 Release date Q3/2016

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 3475 Qualcomm Snapdragon 425
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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