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HiSilicon Kirin 620 vs Qualcomm Snapdragon 810 v2

HiSilicon Kirin 620

The HiSilicon Kirin 620 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 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 Q1/2015

HiSilicon Kirin 620

The Qualcomm Snapdragon 810 v2 operates with 8 cores and 4 CPU threads. It run at 2.00 GHz base 1.50 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 LPDDR4-1600 RAM and features PCIe Gen lanes. Tjunction keeps below -- degrees C. In particular, Cortex-A57 / Cortex-A53 Architecture is enhanced with 20 nm technology and supports None. The product was launched on 2015


Compare Detail

1.20 GHz Frequency 2.00 GHz
453 Cores 8
-- Turbo (1 Core) 2.00 GHz
Turbo (All Cores) 1.50 GHz
uncheck No Hyperthreading No
uncheck No Overclocking No uncheck
normal Core Architecture hybrid (big.LITTLE)
ARM Mali-450 MP4 GPU Qualcomm Adreno 430
0.53 GHz GPU (Turbo) 0.63 GHz
28 nm Technology 20 nm
0.53 GHz GPU (Turbo) 0.63 GHz
0 DirectX Version 11
1 Max. displays 0
LPDDR3 Memory LPDDR4-1600
1 Memory channels 2
Max memory
uncheck No ECC No uncheck
-- L2 Cache --
-- L3 Cache --
PCIe version
PCIe lanes
28 nm Technology 20 nm
N/A Socket N/A
TDP
None Virtualization None
Q1/2015 Release date 2015

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

HiSilicon Kirin 620 Qualcomm Snapdragon 810 v2
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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