Apple A13 Bionic vs. Samsung Exynos 9611

CPU comparison with benchmarks


Apple A13 Bionic CPU1 vs CPU2 Samsung Exynos 9611
Apple A13 Bionic Samsung Exynos 9611
1.80 GHz Frequency 1.70 GHz
2.65 GHz Turbo (1 Core) 2.30 GHz
2.65 GHz Turbo (All Cores) 2.30 GHz
6 Cores 8
No Hyperthreading No
No Overclocking ? No
hybrid (big.LITTLE) Core architecture hybrid (big.LITTLE)
Apple A13 GPU ARM Mali-G72 MP3
1.80 GHz GPU frequency 0.85 GHz
2.70 GHz GPU (Turbo)
10 GPU Generation Bifrost 2
7 nm Technology 16 nm
DirectX Version 12
1 Max. displays 1
4 Execution units 3
384 Shader 48
4 GB Max. GPU Memory 2 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
No Codec AV1 No
Decode Codec VC-1 Decode / Encode
Decode Codec AVC Decode / Encode
Decode / Encode Codec JPEG Decode / Encode
A13 Architecture Cortex-A73 + Cortex-A53
LPDDR4X-4266 Memory LPDDR4X-1600
1 Memory channels 0
4 GB Max. Memory
No ECC No
8.00 MB L2 Cache
L3 Cache
PCIe version
PCIe lanes
7 nm Technology 10 nm
ARMv8-A64 (64 bit) Instruction set (ISA) ARMv8-A64 (64 bit)
N/A Socket N/A
6W TDP (PL1)
Yes AES-NI Yes
None Virtualization None
Q3/2019 Release date Q4/2018
show more data show more data


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.

Apple A13 Bionic Apple A13 Bionic
6x 1.80 GHz (2.65 GHz)
1334 (100%)
Amazon
Samsung Exynos 9611 Samsung Exynos 9611
8x 1.70 GHz (2.30 GHz)
327 (25%)
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.

Apple A13 Bionic Apple A13 Bionic
6x 1.80 GHz (2.65 GHz)
3524 (100%)
Amazon
Samsung Exynos 9611 Samsung Exynos 9611
8x 1.70 GHz (2.30 GHz)
1177 (33%)
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.

Apple A13 Bionic Apple A13 Bionic
Apple A13 @ 2.70 GHz
732 (100%)
Amazon
Samsung Exynos 9611 Samsung Exynos 9611
ARM Mali-G72 MP3 @ 0.85 GHz
94 (13%)
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.

Apple A13 Bionic Apple A13 Bionic
6x 1.80 GHz (2.65 GHz)
523650 (100%)
Amazon
Samsung Exynos 9611 Samsung Exynos 9611
8x 1.70 GHz (2.30 GHz)
179265 (34%)
Amazon



Devices using this processorDevices using this processor

Apple A13 Bionic Samsung Exynos 9611
Apple iPhone 11
Apple iPhone 11 Pro
Apple iPhone 11 Pro Max
iPhone SE
Unknown

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