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FaceMe® The World’s Top Cross-Platform AI Facial Recognition Engine

System Requirements

For Server, Workstations

Ultra High Precision Model (UH)
Very High Precision Model (VH)
High Precision Model (H1)
CPU
Intel® Xeon® Processor E3 Family with 4 cores
(E5 Family with 8 cores recommended)
GPU
nVidia GTX 1080 or T4
Memory
64 GB (128 GB recommended)
OS
Windows, Linux (Ubuntu 16, RedHat 7, CentOS 7)

For Computers

Ultra High Precision Model (UH)
Very High Precision Model (VH)
High Precision Model (H1)
CPU
Intel® Celeron Processor
(Core i7 recommended)
Intel® Celeron Processor
(Core i5 recommended)
GPU
nVidia GTX 1060
(GTX 1080 recommended)
Memory
4 GB (16 GB recommended)
OS
Windows 7/10 (x64), Ubuntu 16 (x64)

For IoT Edge Devices

Android ARM64
Linux ARM64
NVIDIA Jetson
CPU
Snapdragon 410 (4x Cortex-A53)
Rockship RK3399 (2x A72 + 4x A53)
Jetson TX2
Memory
1 GB
(1.5 GB recommended)
4 GB or above
OS
Android 5.0
Ubuntu 16, Debian
JetPack 3.3
Runtime Memory
500 MB
1 GB
1 GB
Android ARM64
Linux ARM64
CPU
Snapdragon 410 (4x Cortex-A53)
Rockship RK3399 (2x A72 + 4x A53)
Memory
1 GB
(1.5 GB recommended)
4 GB or above
OS
Android 5.0
Ubuntu 16, Debian
Runtime Memory
500 MB
1 GB
NVIDIA Jetson
CPU
Jetson TX2
Memory
OS
JetPack 3.3
Runtime Memory
1 GB

For Mobile Devices

Android ARM64
iOS
CPU
Snapdragon 410
(835 recommended)
Apple A8
(A10 recommended)
Memory
1 GB
(1.5 GB recommended)
1 GB
(1.5 GB recommended)
OS
Android 5.0
iOS 11
Runtime Memory
500 MB
500 MB

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