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Samsung Exynos 3470 vs Qualcomm Snapdragon 8c

Samsung Exynos 3470

The Samsung Exynos 3470 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 Q1/2014

Samsung Exynos 3470

The Qualcomm Snapdragon 8c operates with 8 cores and 4 CPU threads. It run at 2.45 GHz base 1.80 GHz all cores while the TDP is set at 7 W.The processor is attached to the N/A CPU socket. This version includes 3.00 MB of L3 cache on one chip, supports 4 memory channels to support LPDDR4X-4266 RAM and features PCIe Gen lanes. Tjunction keeps below -- degrees C. In particular, Kryo 490 Architecture is enhanced with 7 nm technology and supports None. The product was launched on Q4/2019


Compare Detail

1.40 GHz Frequency 2.45 GHz
47 Cores 8
-- Turbo (1 Core) 2.45 GHz
Turbo (All Cores) 1.80 GHz
uncheck No Hyperthreading No
uncheck No Overclocking No uncheck
normal Core Architecture hybrid (big.LITTLE)
ARM Mali-400 MP4 GPU Qualcomm Adreno 675
No turbo GPU (Turbo) 0.59 GHz
28 nm Technology 7 nm
No turbo GPU (Turbo) 0.59 GHz
0 DirectX Version 12.0
1 Max. displays 1
LPDDR3-400 Memory LPDDR4X-4266
0 Memory channels 4
Max memory
uncheck No ECC No uncheck
-- L2 Cache 2.00 MB
-- L3 Cache 3.00 MB
PCIe version
PCIe lanes
28 nm Technology 7 nm
N/A Socket N/A
TDP 7 W
None Virtualization None
Q1/2014 Release date Q4/2019

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 3470 Qualcomm Snapdragon 8c
Max TDP 7 W
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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