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Qualcomm Snapdragon Microsoft SQ2 vs Samsung Exynos 3250

Qualcomm Snapdragon Microsoft SQ2

The Qualcomm Snapdragon Microsoft SQ2 operates with 8 cores and 8 CPU threads. It run at 3.15 GHz base 2.42 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 8 memory channels to support LPDDR4X-2133 RAM and features PCIe Gen lanes. Tjunction keeps below -- degrees C. In particular, Kryo 495 Architecture is enhanced with 7 nm technology and supports None. The product was launched on Q3/2020

Qualcomm Snapdragon Microsoft SQ2

The Samsung Exynos 3250 operates with 27 cores and 8 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 LPDDR2-400 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 2014


Compare Detail

3.15 GHz Frequency 1.00 GHz
8 Cores 27
3.15 GHz Turbo (1 Core) --
2.42 GHz Turbo (All Cores)
uncheck No Hyperthreading No
uncheck No Overclocking No uncheck
hybrid (big.LITTLE) Core Architecture normal
Qualcomm Adreno 690 GPU ARM Mali-400 MP2
No turbo GPU (Turbo) No turbo
7 nm Technology 28 nm
No turbo GPU (Turbo) No turbo
12.0 DirectX Version 0
0 Max. displays 1
LPDDR4X-2133 Memory LPDDR2-400
8 Memory channels 0
Max memory
uncheck No ECC No uncheck
-- L2 Cache --
-- L3 Cache --
PCIe version
PCIe lanes
7 nm Technology 28 nm
N/A Socket N/A
TDP
None Virtualization None
Q3/2020 Release date 2014

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

Qualcomm Snapdragon Microsoft SQ2 Samsung Exynos 3250
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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