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Intel Atom C3858 vs Samsung Exynos 7884

Intel Atom C3858

The Intel Atom C3858 operates with 12 cores and 12 CPU threads. It run at -- base -- all cores while the TDP is set at 25 W.The processor is attached to the BGA 1310 CPU socket. This version includes -- of L3 cache on one chip, supports 2 memory channels to support DDR4-2400 RAM and features 3.0 PCIe Gen 16 lanes. Tjunction keeps below 100 °C degrees C. In particular, Denverton Architecture is enhanced with 14 nm technology and supports VT-x, VT-x EPT, VT-d. The product was launched on Q3/2017

Intel Atom C3858

The Samsung Exynos 7884 operates with 8 cores and 12 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


Compare Detail

2.00 GHz Frequency 1.60 GHz
12 Cores 8
-- Turbo (1 Core) 1.60 GHz
-- Turbo (All Cores) 1.35 GHz
uncheck No Hyperthreading No
uncheck No Overclocking No uncheck
normal Core Architecture hybrid (big.LITTLE)
no iGPU GPU ARM Mali-G71 MP2
No turbo GPU (Turbo) No turbo
14 nm Technology 14 nm
No turbo GPU (Turbo) No turbo
DirectX Version 11
Max. displays 1
DDR4-2400 Memory LPDDR4-1866
2 Memory channels 0
Max memory
check Yes ECC No uncheck
12.00 MB L2 Cache 2.00 MB
-- L3 Cache --
3.0 PCIe version
16 PCIe lanes
14 nm Technology 14 nm
BGA 1310 Socket N/A
25 W TDP
VT-x, VT-x EPT, VT-d Virtualization None
Q3/2017 Release date Q2/2018

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

Intel Atom C3858 Samsung Exynos 7884
25 W 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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