ℹ️
Basic Information
SOC Name
Apple A10 Fusion
Brand
Apple
Announcement Date
07 September 2016
Class
Flagship
Manufacturing Process
16nm
Manufacturing
TSMC
⚡
CPU Specifications
CPU Architecture
2x 2.34 GHz – Hurricane
2x 1.05 GHz – Zephyr
CPU Cores
4 Core
CPU Frequency
2340MHz
Instruction Set
ARMv8.1-A
🧠
Cache & NPU
Cache
4 MB
Cache Level
L3
SLC
---
NPU
No
💾
Memory
Memory Type
LPDDR4
Memory Frequency
1333MHz
Memory Bus
2x 16 Bit
Max Bandwidth
14.9 Gb/s
Max Memory Size
4 GB
🎮
GPU
GPU
PowerVR GT7600
GPU Architecture
Series7XT Plus
Pipelines
6 Pipeline
Shading Units
32 Unit
Total Shaders
192 Unit
Vulkan Version
Version n/a
OpenCL Version
Version 1.2
DirectX Version
Version n/a
💿
Storage & Display
Max Display Resolution
2048 x 1536
Max Camera Resolution
1x 32MP, 2x 12MP
🎵
Video & Audio
Video Capture
4K at 30FPS
Video Playback
4K at 30FPS
Video Codecs
H.264, H.265, VC-1, Motion JPEG
Audio Codecs
AAC, AIFF, CAF, MP3, MP4, WAV
📶
Connectivity
WiFi
Wifi 5
Bluetooth
Bluetooth 4.2
🛰️
Navigation Systems
GPS
Yes
GLONASS
Yes
Beidou
Yes
Galileo
Yes
QZSS
No
NAVIC
No
⚖️
Related SOC
Displayed SoCs are selected based on performance class suitability and key benchmark metrics.
Qualcomm •
8 cores •
2025
413,497
Apple A10 Fusion
Apple •
4 cores •
2016
401,860
Qualcomm •
8 cores •
2020
382,798
MediaTek •
8 cores •
2020
382,741
✅
Positive Aspects
1. Strong Single-Core Performance
Apple A10 Fusion delivers excellent single-core performance that remained competitive for years after launch, making it perform well in everyday tasks and UI responsiveness. 2. Capable GPU for Its Time
With the PowerVR GT7600 GPU, the A10 Fusion provided strong graphics performance relative to other 2016 flagship SoCs, making games run smoothly on devices like iPhone 7 and 7 Plus. 3. Efficient Big/LITTLE Core Design
Using two high-performance Cortex cores with two energy-efficient cores improved power efficiency compared to Apple’s previous dual-core designs.
❌
Negative Aspects
1. No Integrated Neural Engine (NPU)
The A10 Fusion lacks dedicated AI hardware, limiting performance on tasks like on-device ML and advanced camera processing. 2. Older 16nm Process Node
Manufactured on a 16nm process, it is less power efficient and lower performing per watt than later Apple silicon chips built on 7nm or smaller nodes.