Apple A15 Bionic
VS
Qualcomm Snapdragon 8 Gen 1
Apple A15 Bionic
VS
Qualcomm Snapdragon 8 Gen 1

Which to select

It is time to pick the winner. What is the difference between Apple A15 Bionic vs Qualcomm Snapdragon 8 Gen 1? 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 A15 Bionic vs  Qualcomm Snapdragon 8 Gen 1. 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.

3.23 GHz
Frequency
1.80 GHz
6
CPU Cores
8
No turbo
Turbo (1 Core)
3.00 GHz
No
Hyperthreading
No
No
Overclocking
No
no data
Turbo (8 Cores)
2.50 GHz
No turbo
Turbo (6 Cores)
no data
hybrid (big.LITTLE)
Core architecture
hybrid (Prime / big.LITTLE)
2x Avalanche
A core
1x Cortex-X2
4x Blizzard
B core
3x Cortex-A710
--
C core
4x Cortex-A510

CPU generation and family

Apple A15 Bionic
Name
Qualcomm Snapdragon 8 Gen 1
Mobile
Segment
Mobile
Apple A15
CPU group
Qualcomm Snapdragon 8 Gen 1
Apple A series
Family
Qualcomm Snapdragon
15
Generation
1
Apple A14 Bionic
Predecessor
Qualcomm Snapdragon 888
--
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 A15 Bionic vs Qualcomm Snapdragon 8 Gen 1. 

Apple A15 (5 GPU Cores)
GPU name
Qualcomm Adreno 730
1.80 GHz
GPU frequency
0.84 GHz
3.20 GHz
GPU (Turbo)
No turbo
12
Generation
7
DirectX Version
12.1
5
Execution units
0
3
Max. displays
0
5 nm
Technology
4 nm
Q3/2021
Release date
Q1/2022
8 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.

Encryption

Data encryption support

No
AES-NI
No

Memory & AMP; PCIe

LPDDR4X-4266
Memory type
LPDDR5-3200
8 GB
Max. Memory
16 GB
No
ECC
No
2
Memory channels
4

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
--
8.5 W
TDP (PL1)
--
TDP (PL2)
--

Technical details

6
CPU Threads
8
--
L3-Cache
4.00 MB
5 nm
Technology
4 nm
A15
Architecture
Kryo
None
Virtualization
None
N/A
Socket
N/A
Q3/2021
Release date
Q1/2022
ARMv8-A64 (64 bit)
Instruction set (ISA)
ARMv9-A64 (64 bit)
4.00 MB
L2-Cache
2.00 MB
--
Part Number
SM8450

Devices using this processor

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

Apple iPad mini (6. Gen) Apple iPhone 13 mini Apple iPhone 13 Apple iPhone 13 Pro Apple iPhone 13 Pro Max
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.

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