TengineKit - Free, Fast, Easy, Real-Time Face Detection & Face Landmarks & Face Attributes & Hand Detection & Hand Landmarks & Body Detection & Body Landmarks & Iris Landmarks & Yolov5 SDK On Mobile.
C++
2,321
151 commits
updated Oct 18, 2021

TengineKit, developed by OPEN AI LAB.
TengineKit is an easy-to-integrate AI algorithm SDK. At present, it can run on various mobile phones at very low latency.We will continue to update this project for better results and better performance!
| Face Detection & Face 2dLandmark | Face 3dLandmark & Iris | Upper Body Detection & Uppper Body Landmark | Hand Detection & Hand Landmark |
|---|---|---|---|
![]() | ![]() | ![]() | ![]() |

or
| CPU | Time consuming | Frame rate |
|---|---|---|
| Kirin 980 | 4ms | 250fps |
| Qualcomm 855 | 5ms | 200fps |
| Kirin 970 | 7ms | 142fps |
| Qualcomm 835 | 8ms | 125fps |
| Kirin 710F | 9ms | 111fps |
| Qualcomm 439 | 16ms | 62fps |
| MediaTek Helio P60 | 17ms | 59fps |
| Qualcomm 450B | 18ms | 56fps |
About the use of TengineKit and face-related technical exchanges, you can join the following QQ groups(Group Answer:TengineKit):

152 followers · starred Jul 2020
219 followers · starred Jan 2021
35 followers · starred Apr 2021
TengineKit - Free, Fast, Easy, Real-Time Face Detection & Face Landmarks & Face Attributes & Hand Detection & Hand Landmarks & Body Detection & Body Landmarks & Iris Landmarks & Yolov5 SDK On Mobile.
C++
2,321
151 commits
updated Oct 18, 2021

TengineKit, developed by OPEN AI LAB.
TengineKit is an easy-to-integrate AI algorithm SDK. At present, it can run on various mobile phones at very low latency.We will continue to update this project for better results and better performance!
| Face Detection & Face 2dLandmark | Face 3dLandmark & Iris | Upper Body Detection & Uppper Body Landmark | Hand Detection & Hand Landmark |
|---|---|---|---|
![]() | ![]() | ![]() | ![]() |

or
| CPU | Time consuming | Frame rate |
|---|---|---|
| Kirin 980 | 4ms | 250fps |
| Qualcomm 855 | 5ms | 200fps |
| Kirin 970 | 7ms | 142fps |
| Qualcomm 835 | 8ms | 125fps |
| Kirin 710F | 9ms | 111fps |
| Qualcomm 439 | 16ms | 62fps |
| MediaTek Helio P60 | 17ms | 59fps |
| Qualcomm 450B | 18ms | 56fps |
About the use of TengineKit and face-related technical exchanges, you can join the following QQ groups(Group Answer:TengineKit):

152 followers · starred Jul 2020
219 followers · starred Jan 2021
35 followers · starred Apr 2021