Apple A13 Bionic
VS
Qualcomm Snapdragon 888
Apple A13 Bionic
VS
Qualcomm Snapdragon 888

Which to select

It is time to pick the winner. What is the difference between Apple A13 Bionic vs Qualcomm Snapdragon 888? What CPU is more powerful? It is quite easy to determine – look at comparison table. The processor with more cores/ threads and also with higher frequency is the absolute winner!

CPU Cores and Base Frequency

Who will win between Apple A13 Bionic vs  Qualcomm Snapdragon 888. The general performance of a CPU can easily be determined based on the number of its cores and the thread count, as well as the base frequency and Turbo frequency. The more GHz and cores a CPU has, the better. Please note that high technical specs require using a powerful cooling system.

1.80 GHz
Frequency
1.80 GHz
6
CPU Cores
8
2.65 GHz
Turbo (1 Core)
2.84 GHz
No
Hyperthreading
No
No
Overclocking
No
no data
Turbo (8 Cores)
2.40 GHz
2.65 GHz
Turbo (6 Cores)
no data
hybrid (big.LITTLE)
Core architecture
hybrid (Prime / big.LITTLE)
2x Lightning
A core
1x Cortex-X1
4x Thunder
B core
3x Cortex-A78
--
C core
4x Cortex-A55

CPU generation and family

Apple A13 Bionic
Name
Qualcomm Snapdragon 888
Mobile
Segment
Mobile
Apple A13
CPU group
Qualcomm Snapdragon 888
Apple A series
Family
Qualcomm Snapdragon
13
Generation
5
Apple A12 Bionic
Predecessor
--
Apple A14 Bionic
Successor
--

Internal Graphics

Some manufacturers complement their CPUs with graphic chips, such a solution being especially popular in laptops. The higher the clock frequency of a GPU is and the bigger its memory, the better. Find a winner - Apple A13 Bionic vs Qualcomm Snapdragon 888. 

Apple A13
GPU name
Qualcomm Adreno 660
1.80 GHz
GPU frequency
0.84 GHz
2.70 GHz
GPU (Turbo)
No turbo
10
Generation
6
DirectX Version
12.1
4
Execution units
0
384
Shader
0
1
Max. displays
0
7 nm
Technology
5 nm
Q3/2019
Release date
Q1/2021
4 GB
Max. GPU Memory
--

Hardware codec support

Here we deal with specs that are used by some CPU manufacturers. These numbers are mainly technical and can be neglected for the purpose of the comparison analysis.

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

Memory & PCIe

These are memory standards supported by CPUs. The higher such standards, the better a CPU’s performance is.

LPDDR4X-4266
Memory type
LPDDR4X-4266 LPDDR5-3200
4 GB
Max. Memory
1
Memory channels
4
No
ECC
No

Encryption

Data encryption support

No
AES-NI
No

Memory & AMP; PCIe

Thermal Management

The thermal design power (TDP), sometimes called thermal design point, is the maximum amount of heat generated by a computer chip or component (often a CPU, GPU or system on a chip) that the cooling system in a computer is designed to dissipate under any workload.

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

Technical details

6
CPU Threads
8
--
L3-Cache
8.00 MB
7 nm
Technology
5 nm
A13 (Lightning / Thunder)
Architecture
Kryo 680
None
Virtualization
None
N/A
Socket
N/A
Q3/2019
Release date
Q1/2021
x86-64 (64 bit)
Instruction set (ISA)
x86-64 (64 bit)
8.00 MB
L2-Cache
1.00 MB
--
Part Number
--

Devices using this processor

You probably know already what devices use CPUs. These can be a desktop or a laptop.

Apple iPhone 11 Apple iPhone 11 Pro Apple iPhone 11 Pro Max iPhone SE
Used in
Unknown

Compatibility

Technologies and extensions

Virtualization technologies

Memory specs

Peripherals

Geekbench 5, 64bit (Single-Core)

Geekbench 5 benchmark is the newest software suit. Completely new algorithms provide the quite accurate benchmark testing results of the single-core CPU.

AnTuTu 8 benchmark

Phones with best AnTuTu scores. These cell phones are the ones that have obtained the highest score in the well-known AnTuTu ranking

iGPU - FP32 Performance (Single-precision GFLOPS)

This test serves for determining the performance of integrated graphics in Intel and AMD processors. The result is the estimated computing power in the Single-Precision FP32 mode