Apple A13 Bionic vs Qualcomm Snapdragon 888

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CPU comparison with benchmarks


Apple A13 Bionic CPU1 vs CPU2 Qualcomm Snapdragon 888
Apple A13 Bionic Qualcomm Snapdragon 888

CPU comparison

Apple A13 Bionic or Qualcomm Snapdragon 888 - 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 Apple A13 Bionic has 6 cores with 6 threads and clocks with a maximum frequency of 2.65 GHz. Up to 4 GB of memory is supported in 1 memory channels. The Apple A13 Bionic was released in Q3/2019.

The Qualcomm Snapdragon 888 has 8 cores with 8 threads and clocks with a maximum frequency of 2.84 GHz. The CPU supports up to GB of memory in 4 memory channels. The Qualcomm Snapdragon 888 was released in Q1/2021.
Apple A series Family Qualcomm Snapdragon
Apple A13 CPU group Qualcomm Snapdragon 888
13 Generation 8
A13 (Lightning / Thunder) Architecture Kryo 680
Mobile Segment Mobile
Apple A12 Bionic Predecessor --
Apple A14 Bionic Successor Qualcomm Snapdragon 8 Gen 1

CPU Cores and Base Frequency

The Apple A13 Bionic has 6 CPU cores and can calculate 6 threads in parallel. The clock frequency of the Apple A13 Bionic is 2.65 GHz while the Qualcomm Snapdragon 888 has 8 CPU cores and 8 threads can calculate simultaneously. The clock frequency of the Qualcomm Snapdragon 888 is at 1.80 GHz.

6 Cores 8
6 Threads 8
hybrid (big.LITTLE) Core architecture hybrid (Prime / big.LITTLE)
No Hyperthreading No
No Overclocking ? No
2.65 GHz
2x Lightning
A-Core 2.84 GHz
1x Kryo 680 Prime
1.80 GHz
4x Thunder
B-Core 2.42 GHz
3x Kryo 680 Gold
-- C-Core 1.80 GHz
4x Kryo 680 Silver

Internal Graphics

The Apple A13 Bionic or Qualcomm Snapdragon 888 has integrated graphics, called iGPU for short. The iGPU uses the system's main memory as graphics memory and sits on the processor's die.

Apple A13 GPU Qualcomm Adreno 660
1.35 GHz GPU frequency 0.84 GHz
GPU (Turbo)
10 GPU Generation 6
7 nm Technology 5 nm
1 Max. displays 0
32 Execution units
256 Shader
4 GB Max. GPU Memory
DirectX Version 12.1

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.

Decode / Encode Codec h265 / HEVC (8 bit) Decode / Encode
Decode / Encode Codec h265 / HEVC (10 bit) Decode / Encode
Decode / Encode Codec h264 Decode / Encode
Decode / Encode Codec VP9 Decode / Encode
Decode / Encode Codec VP8 Decode / Encode
No Codec AV1 No
Decode Codec AVC Decode
Decode Codec VC-1 Decode
Decode / Encode Codec JPEG Decode / Encode

Memory & PCIe

The Apple A13 Bionic can use up to 4 GB of memory in 1 memory channels. The maximum memory bandwidth is 34.1 GB/s. The Qualcomm Snapdragon 888 supports up to GB of memory in 4 memory channels and achieves a memory bandwidth of up to --.

LPDDR4X-4266 Memory LPDDR4X-4266, LPDDR5-3200
4 GB Max. Memory
1 (Single Channel) Memory channels 4 (Quad Channel)
34.1 GB/s Bandwidth --
No ECC No
8.00 MB L2 Cache 1.00 MB
L3 Cache 8.00 MB
-- PCIe version
PCIe lanes

Thermal Management

The thermal design power (TDP for short) of the Apple A13 Bionic is 6 W, while the Qualcomm Snapdragon 888 has a TDP of --. The TDP specifies the necessary cooling solution that is required to cool the processor sufficiently.

6 W TDP (PL1 / PBP) --
-- TDP (PL2) --
-- TDP up --
-- TDP down --
-- Tjunction max. --

Technical details

The Apple A13 Bionic is manufactured in 7 nm and has 8.00 MB cache. The Qualcomm Snapdragon 888 is manufactured in 5 nm and has a 8.00 MB cache.

7 nm Technology 5 nm
Chiplet Chip design Chiplet
ARMv8-A64 (64 bit) Instruction set (ISA) ARMv8-A64 (64 bit)
ISA extensions
-- Socket --
None Virtualization None
No AES-NI No
iOS Operating systems Android
Q3/2019 Release date Q1/2021
-- Release price --
show more data show more data



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.

Apple A13 Bionic Apple A13 Bionic
6C 6T @ 2.65 GHz
1710 (100%)
Qualcomm Snapdragon 888 Qualcomm Snapdragon 888
8C 8T @ 2.84 GHz
1174 (69%)
Show all Geekbench 6 (Single-Core) results



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.

Apple A13 Bionic Apple A13 Bionic
6C 6T @ 2.65 GHz
3599 (100%)
Qualcomm Snapdragon 888 Qualcomm Snapdragon 888
8C 8T @ 2.84 GHz
3151 (88%)
Show all Geekbench 6 (Multi-Core) results



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
6C 6T @ 2.65 GHz
1336 (100%)
Qualcomm Snapdragon 888 Qualcomm Snapdragon 888
8C 8T @ 2.84 GHz
1088 (81%)
Show all Geekbench 5, 64bit (Single-Core) results



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
6C 6T @ 2.65 GHz
3429 (100%)
Qualcomm Snapdragon 888 Qualcomm Snapdragon 888
8C 8T @ 2.84 GHz
3250 (95%)
Show all Geekbench 5, 64bit (Multi-Core) results



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 @ 1.35 GHz
691 (40%)
Qualcomm Snapdragon 888 Qualcomm Snapdragon 888
Qualcomm Adreno 660 @ 0.84 GHz
1720 (100%)
Show all iGPU - FP32 Performance (Single-precision GFLOPS) results



AnTuTu 9 Benchmark

The AnTuTu 9 benchmark is very well suited to measuring the performance of a smartphone. AnTuTu 9 is quite heavy on 3D graphics and can now also use the "Metal" graphics interface. In AnTuTu, memory and UX (user experience) are also tested by simulating browser and app usage. AnTuTu version 9 can compare any ARM CPU running on Android or iOS. Devices may not be directly comparable when benchmarked on different operating systems.

In the AnTuTu 9 benchmark, the single-core performance of a processor is only slightly weighted. The rating is made up of the multi-core performance of the processor, the speed of the working memory, and the performance of the internal graphics.

Apple A13 Bionic Apple A13 Bionic
6C 6T @ 2.65 GHz
648406 (79%)
Qualcomm Snapdragon 888 Qualcomm Snapdragon 888
8C 8T @ 2.84 GHz
816812 (100%)
Show all AnTuTu 9 Benchmark results



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
6C 6T @ 2.65 GHz
523650 (73%)
Qualcomm Snapdragon 888 Qualcomm Snapdragon 888
8C 8T @ 2.84 GHz
715600 (100%)
Show all AnTuTu 8 Benchmark results



Devices using this processor

Apple A13 Bionic Qualcomm Snapdragon 888
Apple iPhone 11
Apple iPhone 11 Pro
Apple iPhone 11 Pro Max
iPhone SE
ASUS Zenfone 8 mini

Leaderboards

In our leaderboards, we have clearly compiled the best processors for specific categories for you. The leaderboards are always up to date and are regularly updated by us. The best processors are selected according to popularity and speed in benchmarks as well as the price-performance ratio.


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