Qualcomm Snapdragon 888
VS
Apple A14 Bionic
Qualcomm Snapdragon 888
VS
Apple A14 Bionic

Which to select

It is time to pick the winner. What is the difference between Qualcomm Snapdragon 888 vs Apple A14 Bionic? 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 Qualcomm Snapdragon 888 vs  Apple A14 Bionic. 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
3.00 GHz
8
CPU Cores
6
2.84 GHz
Turbo (1 Core)
No turbo
No
Hyperthreading
No
No
Overclocking
No
2.40 GHz
Turbo (8 Cores)
no data
no data
Turbo (6 Cores)
No turbo
hybrid (Prime / big.LITTLE)
Core architecture
hybrid (big.LITTLE)
1x Cortex-X1
A core
4x Firestorm
3x Cortex-A78
B core
2x Icestorm
4x Cortex-A55
C core
--

CPU generation and family

Qualcomm Snapdragon 888
Name
Apple A14 Bionic
Mobile
Segment
Mobile
Qualcomm Snapdragon 888
CPU group
Apple A14
Qualcomm Snapdragon
Family
Apple A series
5
Generation
14
--
Predecessor
Apple A13 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 - Qualcomm Snapdragon 888 vs Apple A14 Bionic. 

Qualcomm Adreno 660
GPU name
Apple A14
0.84 GHz
GPU frequency
1.80 GHz
No turbo
GPU (Turbo)
3.01 GHz
6
Generation
11
12.1
DirectX Version
0
Execution units
4
0
Max. displays
3
5 nm
Technology
5 nm
Q1/2021
Release date
Q3/2020
--
Max. GPU Memory
8 GB

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
Decode

Memory & PCIe

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

LPDDR4X-4266 LPDDR5-3200
Memory type
LPDDR4X-4266
Max. Memory
16 GB
4
Memory channels
2
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
--
TDP (PL1)
6 W
--
TDP (PL2)
--

Technical details

8
CPU Threads
6
8.00 MB
L3-Cache
--
5 nm
Technology
5 nm
Kryo 680
Architecture
A14 (Firestorm/Icestorm)
None
Virtualization
None
N/A
Socket
N/A
Q1/2021
Release date
Q3/2020
x86-64 (64 bit)
Instruction set (ISA)
x86-64 (64 bit)
1.00 MB
L2-Cache
4.00 MB
--
Part Number
--

Devices using this processor

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

Unknown
Used in
Apple iPhone 12 mini Apple iPhone 12 Apple iPhone 12 Pro Apple iPhone 12 Pro Max Apple iPad Air (4. Gen)

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