FaceMe® AI Facial Recognition Engine | System Requirements | CyberLink
FaceMe®

FaceMe® The World’s Top AI Facial Recognition Engine

System Requirements

For Server, Workstations

Ultra High Precision Model (UH)
Very High Precision Model (VH)
High Precision Model (H)
CPU
Intel® Xeon® Processor E3 Family with 4 cores
(E5 Family with 8 cores recommended)
GPU
NVIDIA® Quadro RTX 4000 or
NVIDIA® Tesla T4
Memory
4GB (16GB recommended)
OS
Windows 10, Windows Server 2019, Ubuntu 16/18

For Computers

Ultra High Precision Model (UH)
Very High Precision Model (VH)
High Precision Model (H)
CPU
Intel® Celeron® Processor
(Core i7 recommended)
Intel® Celeron® Processor
(Core i5 recommended)
GPU
NVIDIA® RTX 1050 Ti
(RTX 2080 recommended)
Memory
4GB (16GB recommended)
OS
Windows 7/10, Ubuntu 16/18

For IoT Edge Devices

Platform/OS
NVIDIA® Jetson
Android, Ubuntu
FaceMe® Model
UH
VH/H
VH
H
CPU
Jetson Nano, TX2, Xavier NX, AGX Xavier
Snapdragon 410 (4x Cortex-A53)
MTK i350 (4x Cortex-A53)
NXP i.MX8M Plus (4x Coretex-A53)
Rockchip RK3288 (4x Cortex-A17)
Broadcom BCM2711 (4x Cortex-A72, Raspberry Pi 4)
Memory (GB)
4 GB
2 GB
(4 GB recommended)
1 GB
(1.5 GB recommended)
OS
JetPack 4.4
Ubuntu 16/18, Android 5.0
Runtime Memory
4.4 GB
2.7 GB
550 MB
500 MB
Platform/OS
NVIDIA® Jetson
FaceMe® Model
UH
VH/H
CPU
Jetson Nano, TX2, Xavier NX, AGX Xavier
Memory (GB)
4 GB
OS
JetPack 4.4
Runtime Memory
4.4 GB
2.7 GB
Platform/OS
NVIDIA® Jetson
FaceMe® Model
UH
VH/H
CPU
Snapdragon 410 (4x Cortex-A53)
MTK i350 (4x Cortex-A53)
NXP i.MX8M Plus (4x Coretex-A53)
Rockchip RK3288 (4x Cortex-A17)
Broadcom BCM2711 (4x Cortex-A72, Raspberry Pi 4)
Memory (GB)
2 GB
(4 GB recommended)
1 GB
(1.5 GB recommended)
OS
Ubuntu 16/18, Android 5.0
Runtime Memory
550 MB
500 MB

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 12
Runtime Memory
500 MB
500 MB

For further information on CyberLink FaceMe® engine