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Qualcomm Snapdragon Microsoft SQ2 vs. Intel Core i5-11600


Cpu Benchmark with benchmarks

Qualcomm Snapdragon Microsoft SQ2
Intel Core i5-11600
Qualcomm Snapdragon Microsoft SQ2 Intel Core i5-11600
3.15 GHz Frequency 2.80 GHz
3.15 GHz Turbo (1 Core) 4.80 GHz
2.42 GHz Turbo (All Cores) --
8 Cores 6
No Hyperthreading ? Yes
No Overclocking ? No
hybrid (big.LITTLE) Core architecture normal
Qualcomm Adreno 690 GPU Intel UHD Graphics 750
12.0 DirectX Version 12
0 Max. displays 3
LPDDR4X-2133 Memory DDR4-3200
8 Memory channels 2
16 GB Max. Memory 128 GB
No ECC No
-- L2 Cache 3.00 MB
-- L3 Cache 12.00 MB
PCIe version 4.0
PCIe lanes 20
7 nm Technology 14 nm
N/A Socket LGA 1200
TDP 65 W
None Virtualization VT-x, VT-x EPT, VT-d
Q3/2020 Release date Q1/2021
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Cinebench R23 (Single-Core)

Cinebench R23 is the successor of Cinebench R20 and is also based on the Cinema 4 Suite. Cinema 4 is a worldwide used software to create 3D forms. The single-core test only uses one CPU core, the amount of cores or hyperthreading ability doesn't count.

Intel Core i5-11600 1508 (69%)
69% Complete

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.

35% Complete
Intel Core i5-11600 1561 (70%)
70% Complete

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.

6% Complete
Intel Core i5-11600 7422 (15%)
15% Complete

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.

3% Complete

Monero Hashrate kH/s

The crypto currency Monero has been using the RandomX algorithm since November 2019. This PoW (proof of work) algorithm can only efficiently be calculated using a processor (CPU) or a graphics card (GPU). The CryptoNight algorithm was used for Monero until November 2019, but it could be calculated using ASICs. RandomX benefits from a high number of CPU cores, cache and a fast connection of the memory via as many memory channels as possible

4% Complete

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Qualcomm Snapdragon Microsoft SQ2 vs. Intel Core i5-11600 - Cpu Benchmark Specs & Test
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