Samsung Exynos 1080 vs. Apple A14 Bionic

CPU comparison with benchmarks


Samsung Exynos 1080 CPU1 vs CPU2 Apple A14 Bionic
Samsung Exynos 1080 Apple A14 Bionic
2.00 GHz Frequency 3.00 GHz
2.80 GHz Turbo (1 Core)
2.60 GHz Turbo (All Cores)
8 Cores 6
No Hyperthreading No
No Overclocking ? No
hybrid (Prime / big.LITTLE) Core architecture hybrid (big.LITTLE)
ARM Mali-G78 MP10 GPU Apple A14
0.76 GHz GPU frequency 1.80 GHz
GPU (Turbo) 3.01 GHz
Vallhall 2 GPU Generation 11
5 nm Technology 5 nm
12 DirectX Version
1 Max. displays 3
10 Execution units 4
160 Shader
Max. GPU Memory 8 GB
Decode / Encode Codec h264 Decode / Encode
Decode / Encode Codec h265 / HEVC (8 bit) Decode / Encode
Decode / Encode Codec h265 / HEVC (10 bit) Decode / Encode
Decode / Encode Codec VP8 Decode / Encode
Decode / Encode Codec VP9 Decode / Encode
Decode Codec AV1 Decode
Decode / Encode Codec VC-1 Decode
Decode / Encode Codec AVC Decode
Decode / Encode Codec JPEG Decode / Encode
Cortex-A78/Cortex-A55 Architecture A14
LPDDR4X, LPDDR5 Memory LPDDR4X-4266
4 Memory channels 2
Max. Memory 16 GB
No ECC No
L2 Cache 4.00 MB
L3 Cache
PCIe version
PCIe lanes
5 nm Technology 5 nm
ARMv8-A64 (64 bit) Instruction set (ISA) ARMv8-A64 (64 bit)
N/A Socket N/A
TDP (PL1) 6W
Yes AES-NI Yes
None Virtualization None
Q4/2020 Release date Q3/2020
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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.

Samsung Exynos 1080 Samsung Exynos 1080
8x 2.00 GHz (2.80 GHz)
903 (57%)
Amazon
Apple A14 Bionic Apple A14 Bionic
6x 3.00 GHz
1592 (100%)
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.

Samsung Exynos 1080 Samsung Exynos 1080
8x 2.00 GHz (2.80 GHz)
3343 (81%)
Amazon
Apple A14 Bionic Apple A14 Bionic
6x 3.00 GHz
4112 (100%)
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.

Samsung Exynos 1080 Samsung Exynos 1080
ARM Mali-G78 MP10 @ 0.76 GHz
972 (100%)
Amazon
Apple A14 Bionic Apple A14 Bionic
Apple A14 @ 3.01 GHz
824 (85%)
Amazon



AnTuTu 8 benchmark

The AnTuTu 8 Benchmark measures the performance of a SoC. AnTuTu benchmarks the CPU, GPU, Memory as well as the UX (User Experience) by simulating browser and app usage. AnTuTu can benchmark any ARM CPU that runs under Android or iOS. Devices may not be directly compareable if the benchmark has been performed under different operating systems.

In the AnTuTu 8 benchmark, the single-core performance of a processor is only slightly weighted. The evaluation consists of the multi-core performance of the processor, the speed of the RAM and the performance of the internal graphics.

Samsung Exynos 1080 Samsung Exynos 1080
8x 2.00 GHz (2.80 GHz)
688300 (100%)
Amazon
Apple A14 Bionic Apple A14 Bionic
6x 3.00 GHz
628047 (91%)
Amazon



Devices using this processorDevices using this processor

Samsung Exynos 1080 Apple A14 Bionic
Unknown Apple iPhone 12 mini
Apple iPhone 12
Apple iPhone 12 Pro
Apple iPhone 12 Pro Max
Apple iPad Air (4. Gen)

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