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Samsung Exynos 7884 vs Qualcomm Snapdragon 630

Samsung Exynos 7884

The Samsung Exynos 7884 operates with 8 cores and 8 CPU threads. It run at 1.60 GHz base 1.35 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 LPDDR4-1866 RAM and features PCIe Gen lanes. Tjunction keeps below -- degrees C. In particular, Cortex-A73 / Cortex-A53 Architecture is enhanced with 14 nm technology and supports None. The product was launched on Q2/2018

Samsung Exynos 7884

The Qualcomm Snapdragon 630 operates with 8 cores and 8 CPU threads. It run at 2.20 GHz base 1.80 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 2 memory channels to support LPDDR4-1333 RAM and features PCIe Gen lanes. Tjunction keeps below -- degrees C. In particular, Cortex-A53 Architecture is enhanced with 14 nm technology and supports None. The product was launched on Q2/2017


Compare Detail

1.60 GHz Frequency 2.20 GHz
8 Cores 8
1.60 GHz Turbo (1 Core) 2.20 GHz
1.35 GHz Turbo (All Cores) 1.80 GHz
uncheck No Hyperthreading No
uncheck No Overclocking No uncheck
hybrid (big.LITTLE) Core Architecture hybrid (big.LITTLE)
ARM Mali-G71 MP2 GPU Qualcomm Adreno 508
No turbo GPU (Turbo) 0.65 GHz
14 nm Technology 14 nm
No turbo GPU (Turbo) 0.65 GHz
11 DirectX Version 12.1
1 Max. displays 0
LPDDR4-1866 Memory LPDDR4-1333
0 Memory channels 2
Max memory
uncheck No ECC No uncheck
2.00 MB L2 Cache --
-- L3 Cache --
PCIe version
PCIe lanes
14 nm Technology 14 nm
N/A Socket N/A
TDP
None Virtualization None
Q2/2018 Release date Q2/2017

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 7884 Qualcomm Snapdragon 630
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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