Qualcomm Snapdragon 810 v2 vs. Samsung Exynos 4412

CPU comparison with benchmarks


Qualcomm Snapdragon 810 v2 CPU1 vs CPU2 Samsung Exynos 4412
Qualcomm Snapdragon 810 v2 Samsung Exynos 4412
1.50 GHz Frequency 1.60 GHz
2.00 GHz Turbo (1 Core) 1.60 GHz
2.00 GHz Turbo (All Cores) 1.60 GHz
8 Cores 4
No Hyperthreading No
No Overclocking ? No
hybrid (big.LITTLE) Core architecture normal
Qualcomm Adreno 430 GPU ARM Mali-400 MP4
0.63 GHz GPU frequency 0.44 GHz
0.63 GHz GPU (Turbo) 0.44 GHz
4 GPU Generation Utgard
20 nm Technology 28nm
11 DirectX Version 0
0 Max. displays 1
Execution units 4
256 Shader 64
Max. GPU Memory
Decode / Encode Codec h264 No
Decode Codec h265 / HEVC (8 bit) No
No Codec h265 / HEVC (10 bit) No
No Codec VP8 No
No Codec VP9 No
No Codec AV1 No
Decode Codec VC-1 No
No Codec AVC No
Decode / Encode Codec JPEG No
ARM Cortex-A57/Cortex-A53 Architecture Cortex-A9
LPDDR4-1600 Memory LPDDR2-400
2 Memory channels 0
Max. Memory
No ECC No
L2 Cache 1.00 MB
L3 Cache
PCIe version
PCIe lanes
20 nm Technology 32nm
ARMv8-A64 (64 bit) Instruction set (ISA) ARMv7-A32 (32 bit)
N/A Socket N/A
TDP (PL1)
Yes AES-NI No
None Virtualization None
2015 Release date Q2/2012
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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.

Qualcomm Snapdragon 810 v2 Qualcomm Snapdragon 810 v2
8x 1.50 GHz (2.00 GHz)
231 (100%)
Amazon
Samsung Exynos 4412 Samsung Exynos 4412
4x 1.60 GHz (1.60 GHz)
0 (0%)
Amazon



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.

Qualcomm Snapdragon 810 v2 Qualcomm Snapdragon 810 v2
8x 1.50 GHz (2.00 GHz)
697 (100%)
Amazon
Samsung Exynos 4412 Samsung Exynos 4412
4x 1.60 GHz (1.60 GHz)
0 (0%)
Amazon



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.

Qualcomm Snapdragon 810 v2 Qualcomm Snapdragon 810 v2
Qualcomm Adreno 430 @ 0.63 GHz
408 (100%)
Amazon
Samsung Exynos 4412 Samsung Exynos 4412
ARM Mali-400 MP4 @ 0.44 GHz
16 (4%)
Amazon



Devices using this processorDevices using this processor

Qualcomm Snapdragon 810 v2 Samsung Exynos 4412
Unknown Unknown

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