Samsung Exynos 7885 vs Apple A11 Bionic

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CPU comparison with benchmarks


Samsung Exynos 7885 CPU1 vs CPU2 Apple A11 Bionic
Samsung Exynos 7885 Apple A11 Bionic

CPU comparison

Samsung Exynos 7885 or Apple A11 Bionic - which processor is faster? In this comparison we look at the differences and analyze which of these two CPUs is better. We compare the technical data and benchmark results.

The Samsung Exynos 7885 has 8 cores with 8 threads and clocks with a maximum frequency of 2.20 GHz. Up to 6 GB of memory is supported in 2 memory channels. The Samsung Exynos 7885 was released in Q1/2018.

The Apple A11 Bionic has 6 cores with 6 threads and clocks with a maximum frequency of 2.39 GHz. The CPU supports up to 3 GB of memory in 1 memory channels. The Apple A11 Bionic was released in Q3/2017.
Samsung Exynos (46) Family Apple A series (22)
Samsung Exynos 7872/7884/7885/7904 (4) CPU group Apple A11 (1)
2 Generation 11
Cortex-A73 / Cortex-A53 Architecture A11
Mobile Segment Mobile
-- Predecessor Apple A10 Fusion
-- Successor Apple A12 Bionic

CPU Cores and Base Frequency

The Samsung Exynos 7885 is a 8 core processor with a clock frequency of 2.20 GHz. The Apple A11 Bionic has 6 CPU cores with a clock frequency of 2.39 GHz.

Samsung Exynos 7885 Characteristic Apple A11 Bionic
8 Cores 6
8 Threads 6
hybrid (big.LITTLE) Core architecture hybrid (big.LITTLE)
No Hyperthreading No
No Overclocking ? No
2.20 GHz
2x Cortex-A73
A-Core 2.39 GHz
2x Monsoon
1.60 GHz
6x Cortex-A53
B-Core 1.19 GHz
4x Mistral

Artificial Intelligence and Machine Learning

Processors with the support of artificial intelligence (AI) and machine learning (ML) can process many calculations, especially audio, image and video processing, much faster than classic processors. Algorithms for ML improve their performance the more data they have collected via software. ML tasks can be processed up to 10,000 times faster than with a classic processor.

Samsung Exynos 7885 Characteristic Apple A11 Bionic
-- AI hardware Apple Neural Engine
-- AI specifications 2 Neural cores @ 0.6 TOPS

Internal Graphics

The integrated graphics unit of a processor is not only responsible for the pure image output on the system, but can also significantly increase the efficiency of the system with the support of modern video codecs.

ARM Mali-G71 MP2 GPU Apple A11
1.10 GHz GPU frequency 1.07 GHz
-- GPU (Turbo) --
Bifrost 1 GPU Generation 8
16 nm Technology 10 nm
1 Max. displays 1
2 Compute units 12
32 Shader 192
No Hardware Raytracing No
No Frame Generation No
2 GB Max. GPU Memory 3 GB
11 DirectX Version --

Hardware codec support

A photo or video codec that is accelerated in hardware can greatly accelerate the working speed of a processor and extend the battery life of notebooks or smartphones when playing videos.

ARM Mali-G71 MP2 GPU Apple A11
Decode / Encode Codec h265 / HEVC (8 bit) Decode
Decode Codec h265 / HEVC (10 bit) Decode
Decode / Encode Codec h264 Decode / Encode
No Codec VP9 Decode
Decode / Encode Codec VP8 Decode / Encode
No Codec AV1 No
Decode / Encode Codec AVC Decode
No Codec VC-1 Decode
Decode / Encode Codec JPEG Decode / Encode

Memory & PCIe

The Samsung Exynos 7885 supports a maximum of 6 GB of memory in 2 memory channels. The Apple A11 Bionic can connect up to 3 GB of memory in 1 memory channels.

Samsung Exynos 7885 Characteristic Apple A11 Bionic
LPDDR4-1866 Memory LPDDR4X-4266
6 GB Max. Memory 3 GB
2 (Dual Channel) Memory channels 1 (Single Channel)
-- Max. Bandwidth 34.1 GB/s
No ECC No
2.00 MB L2 Cache 8.00 MB
-- L3 Cache --
-- PCIe version --
-- PCIe lanes --
-- PCIe Bandwidth --

Thermal Management

The TDP (Thermal Design Power) of a processor specifies the required cooling solution. The Samsung Exynos 7885 has a TDP of --, that of the Apple A11 Bionic is 8 W.

Samsung Exynos 7885 Characteristic Apple A11 Bionic
-- TDP (PL1 / PBP) 8 W
-- TDP (PL2) --
-- TDP up --
-- TDP down --
-- Tjunction max. --

Technical details

The Samsung Exynos 7885 has a 2.00 MB cache, while the Apple A11 Bionic cache has a total of 8.00 MB.

Samsung Exynos 7885 Characteristic Apple A11 Bionic
14 nm Technology 10 nm
Unknown Chip design Chiplet
Armv8-A (64 bit) Instruction set (ISA) Armv8-A (64 bit)
-- ISA extensions --
-- Socket --
None Virtualization None
No AES-NI No
Android Operating systems iOS
Q1/2018 Release date Q3/2017
-- Release price --
show more data show more data


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Average performance in benchmarks

⌀ Single core performance in 2 CPU benchmarks
⌀ Multi core performance in 3 CPU benchmarks

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 7885 Samsung Exynos 7885
8C 8T @ 2.20 GHz
297 (32%)
Apple A11 Bionic Apple A11 Bionic
6C 6T @ 2.39 GHz
932 (100%)

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 7885 Samsung Exynos 7885
8C 8T @ 2.20 GHz
1032 (40%)
Apple A11 Bionic Apple A11 Bionic
6C 6T @ 2.39 GHz
2569 (100%)

Geekbench 6 (Single-Core)

Geekbench 6 is a benchmark for modern computers, notebooks and smartphones. What is new is an optimized utilization of newer CPU architectures, e.g. based on the big.LITTLE concept and combining CPU cores of different sizes. The single-core benchmark only evaluates the performance of the fastest CPU core, the number of CPU cores in a processor is irrelevant here.
Samsung Exynos 7885 Samsung Exynos 7885
8C 8T @ 2.20 GHz
330 (30%)
Apple A11 Bionic Apple A11 Bionic
6C 6T @ 2.39 GHz
1093 (100%)

Geekbench 6 (Multi-Core)

Geekbench 6 is a benchmark for modern computers, notebooks and smartphones. What is new is an optimized utilization of newer CPU architectures, e.g. based on the big.LITTLE concept and combining CPU cores of different sizes. The multi-core benchmark evaluates the performance of all of the processor's CPU cores. Virtual thread improvements such as AMD SMT or Intel's Hyper-Threading have a positive impact on the benchmark result.
Samsung Exynos 7885 Samsung Exynos 7885
8C 8T @ 2.20 GHz
970 (49%)
Apple A11 Bionic Apple A11 Bionic
6C 6T @ 2.39 GHz
1997 (100%)

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 7885 Samsung Exynos 7885
ARM Mali-G71 MP2 @ 1.10 GHz
76 (19%)
Apple A11 Bionic Apple A11 Bionic
Apple A11 @ 1.07 GHz
409 (100%)

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 7885 Samsung Exynos 7885
8C 8T @ 2.20 GHz
138400 (47%)
Apple A11 Bionic Apple A11 Bionic
6C 6T @ 2.39 GHz
295465 (100%)

Estimated results for PassMark CPU Mark

Some of the CPUs listed below have been benchmarked by CPU-monkey. However the majority of CPUs have not been tested and the results have been estimated by a CPU-monkey’s secret proprietary formula. As such they do not accurately reflect the actual Passmark CPU mark values and are not endorsed by PassMark Software Pty Ltd.
Samsung Exynos 7885 Samsung Exynos 7885
8C 8T @ 2.20 GHz
1807 (41%)
Apple A11 Bionic Apple A11 Bionic
6C 6T @ 2.39 GHz
4360 (100%)

Performance for Artificial Intelligence (AI) and Machine Learning (ML)

Processors with the support of artificial intelligence (AI) and machine learning (ML) can process many calculations, especially audio, image and video processing, much faster than classic processors. The performance is given in the number (trillions) of arithmetic operations per second (TOPS).
Samsung Exynos 7885 Samsung Exynos 7885
8C 8T @ 2.20 GHz
0 (0%)
Apple A11 Bionic Apple A11 Bionic
6C 6T @ 2.39 GHz
0.6 (100%)

Devices using this processor

Samsung Exynos 7885 Apple A11 Bionic
Unknown Apple iPhone 8
Apple iPhone 8 Plus
Apple iPhone X

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