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Intel Atom C3958 vs Qualcomm Snapdragon 435

Intel Atom C3958

The Intel Atom C3958 operates with 16 cores and 16 CPU threads. It run at -- base -- all cores while the TDP is set at 31 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 C3958

The Qualcomm Snapdragon 435 operates with 853 cores and 16 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
16 Cores 853
-- Turbo (1 Core) --
-- Turbo (All Cores)
uncheck No Hyperthreading No
uncheck No Overclocking No uncheck
normal Core Architecture normal
no iGPU GPU Qualcomm Adreno 505
No turbo GPU (Turbo) 0.45 GHz
14 nm Technology 28 nm
No turbo GPU (Turbo) 0.45 GHz
DirectX Version 11
Max. displays 0
DDR4-2400 Memory LPDDR3-800
2 Memory channels 1
Max memory
check Yes ECC No uncheck
16.00 MB L2 Cache --
-- L3 Cache --
3.0 PCIe version
16 PCIe lanes
14 nm Technology 28 nm
BGA 1310 Socket N/A
31 W TDP
VT-x, VT-x EPT, VT-d Virtualization None
Q3/2017 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

Intel Atom C3958 Qualcomm Snapdragon 435
31 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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