Snapdragon 888 vs Apple A16 Bionic – SoC Comparison

Staff Author 0 Comments Nov 20, 2023 Snapdragon 888 vs Apple A16 Bionic – SoC Comparison

Overview:

The Qualcomm Snapdragon 888 and Apple A16 Bionic are flagship mobile processors with notable differences. In terms of CPU, the Snapdragon 888 boasts an octa-core setup with a 5nm process, while the A16 Bionic features a hexa-core design on a 4nm process. The GPUs vary, with Adreno 660 in the Snapdragon 888 and an Apple GPU in the A16 Bionic, offering distinct architectures and performance metrics. Both processors support LPDDR5 memory, but the Snapdragon 888 allows for larger memory sizes. Connectivity-wise, the Snapdragon 888 has a modem and supports 5G, whereas the A16 Bionic relies on LTE Cat. 24.

Specifications	Qualcomm Snapdragon 888	Apple A16 Bionic
CPU
Architecture	1x 2.84 GHz – Kryo 680 Prime (Cortex-X1) <br> 3x 2.42 GHz – Kryo 680 Gold (Cortex-A78) <br> 4x 1.8 GHz – Kryo 680 Silver (Cortex-A55)	2x 3.46 GHz – Everest <br> 4x 2.02 GHz – Sawtooth
Cores	8	6
Frequency	2840 MHz	3460 MHz
Instruction set	ARMv8.4-A	ARMv9-A
L1 cache	512 KB	256 KB
L2 cache	1 MB	16 MB
L3 cache	4 MB	-
Process	5 nanometers	4 nanometers
Transistor count	10.3 billion	16 billion
TDP	8 W	8 W
Manufacturing	Samsung	TSMC
Graphics
GPU name	Adreno 660	Apple A16 GPU
Architecture	Adreno 600	Apple GPU
GPU frequency	792 MHz	1398 MHz
Execution units	2	5
Shading units	512	128
Total shaders	1024	640
FLOPS	1622 Gigaflops	1789.4 Gigaflops
Vulkan version	1.1	-
OpenCL version	2.0	-
DirectX version	12.1	-
Memory
Memory type	LPDDR5	LPDDR5
Memory frequency	3200 MHz	3200 MHz
Bus	4x 16 Bit	4x 16 Bit
Max bandwidth	51.2 Gbit/s	51.2 Gbit/s
Max size	24 GB	6 GB
Multimedia (ISP)
Neural processor (NPU)	Hexagon 780	Neural Engine
Storage type	UFS 3.0, UFS 3.1	NVMe
Max display resolution	3840 x 2160	2796 x 1290
Max camera resolution	1x 200MP, 2x 25MP	1x 48MP
Video capture	8K at 30FPS, 4K at 120FPS	4K at 60FPS
Video playback	8K at 30FPS	4K at 60FPS
Video codecs	H.264, H.265, VP8, VP9	H.264, H.265, VP8, VP9, Motion JPEG
Audio codecs	AAC, AIFF, CAF, MP3, MP4, WAV	AAC, AIFF, CAF, MP3, MP4, WAV, AC-3, E-AC-3, AAX, AAX+
Connectivity
Modem	X60	-
4G support	LTE Cat. 22	LTE Cat. 24
5G support	Yes	Yes
Download speed	Up to 7500 Mbps	Up to 7500 Mbps
Upload speed	Up to 3000 Mbps	Up to 3500 Mbps
Wi-Fi	6	6
Bluetooth	5.2	5.3
Navigation	GPS, GLONASS, Beidou, Galileo, QZSS, SBAS, NAVIC	GPS, GLONASS, Beidou, Galileo, QZSS
Info
Announced	December 2020	September 2022
Class	Flagship	Flagship
Model number	SM8350	APL1W10

Benchmarks:

AnTuTu 10

AnTuTu 10 Scores	Snapdragon 888	A16 Bionic (+66%)
CPU	216,686	401,268
GPU	306,134	469,849
Memory	165,322	254,936
UX	192,312	328,084
Total Score	872,772	1,451,855 (+66%)

Geekbench 6

GeekBench 6 Scores	Snapdragon 888	A16 Bionic (+150%)
Single-Core Score	1,048	2,618
Multi-Core Score	3,396	6,804
Asset Compression	-	236.7 MB/sec
HTML 5 Browser	-	156.7 pages/sec
PDF Renderer	-	162.1 Mpixels/sec
Image Detection	-	155.8 images/sec
HDR	-	207.5 Mpixels/sec
Background Blur	-	26.5 images/sec
Photo Processing	-	77.6 images/sec
Ray Tracing	-	6.85 Mpixels/sec
Compute Score (GPU)	5,373	n/a

3D Mark

3DMark Wild Life Performance	Snapdragon 888	A16 Bionic (+86%)
Stability	91%	82%
Graphics Test	31 FPS	58 FPS
Score	5,282	9,848

Key Differences

Qualcomm Snapdragon 888:

Octa-core CPU architecture, featuring a powerful combination of Cortex-X1, Cortex-A78, and Cortex-A55 cores, providing versatility in performance.
Adreno 660 GPU, with 792 MHz frequency and 1024 shaders, offering high-end graphics capabilities and supporting advanced technologies like Vulkan 1.1.
5G support with the X60 modem, enabling download speeds of up to 7500 Mbps, and a manufacturing process of 5 nanometers for efficiency.

Apple A16 Bionic:

Hexa-core CPU configuration, including Everest and Sawtooth cores, showcasing Apple's optimized approach to performance and energy efficiency.
Apple GPU, featuring 1398 MHz frequency and 640 shaders, delivering a robust graphics performance with support for the latest display resolutions.
LTE Cat. 24 support for 4G connectivity, a 4-nanometer manufacturing process, and the Neural Engine for advanced AI capabilities.