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DeepLab

SampleAndroid

🏷TensorFlow

Model / Code tag 0.2.0.8

iPhone 6s Plus

MI 6 (4 threads)

deeplabv3_257_mv_gpu38.02

46.08


DenseNet

🏷TensorFlow

Model / Code tag 0.2.0.8

iPhone 6s Plus

MI 6 (4 threads)

densenet110.58

179.51


Inception

🏷TensorFlow

Model / Code tag 0.2.0.8

iPhone 6s Plus

MI 6 (4 threads)

inception_v3285.02

278.58

inception_v3_quant302.50

210.19

inception_v4801.81

1414.61

inception_resnet_v2523.33

723.45


LaneNet

示例:Linux/MacOS/Ubuntu(Lane Detection)🚧by MaybeShewill

🏷TensorFlow

Model / Code tag 0.2.1.5

iPhone 6s Plus

MI 6 (4 threads)

lanenet_model

1878.01 



LFFD

Sample:Linux/MacOS/Ubuntu(face detection)🚧by 哈喽

🏷MXNet

Model / Code tag 0.2.0.9

iPhone 6s Plus

MI 6 (4 threads)

symbol_10_560_25L_8scales_v1302.08 (input size = 640x480)


symbol_10_320_20L_5scales_v2198.68 (input size = 640x480)



MnasNet

🏷TensorFlow

Model / Code tag 0.2.0.8

iPhone 6s Plus

MI 6 (4 threads)

mnasnet_1.3_22434.7062.73


MobileNet

Sample: iOSAndroidAndroid(文档检测)🚧by 邓俊辉

🏷Caffe

Model / Code tag 0.2.0.8

iPhone 6s Plus

MI 6 (4 threads)

mobilenet

27.29

29.96

mobilenet_v2

27.11

30.23

🏷TensorFlow

Model / Code tag 0.2.0.8

iPhone 6s Plus

MI 6 (4 threads)

mobilenet_v1_1.0_224

27.82

29.00

mobilenet_v1_1.0_224_quant

30.16

14.01

mobilenet_v2_1.0_224

22.01

22.86

mobilenet_v2_1.0_224_quant

24.06

17.16


MobileNet SSD

SampleAndroid(vehicle/pedestrain detection)🚧by 张新栋

🏷Caffe

Model / Code tag 0.2.0.8

iPhone 6s Plus

MI 6 (4 threads)

mobilenet_ssd47.8452.63


🏷TensorFlow

Model / Code tag 0.2.0.8

iPhone 6s Plus

MI 6 (4 threads)

ssd_mobilenet_v1_coco49.4953.24
ssd_mobilenet_v2_coco66.7372.18


Modified MobileNet SSD (Ultra Light Fast Generic Face Detector ≈1MB)

Sample:Linux🚧by Linzaer

🏷Caffe

Model / Code tag 0.2.1.5

iPhone 6s Plus

小米6 (4 threads)

RFB-320-quant-ADMM-3210.25


RFB-320-quant-KL-579210.44


RFB-3207.80


slim-320-quant-ADMM-509.04


slim-32 6.33



MTCNN

Sample:AIoT(license plate recognize)🚧by 仪山湖Android(face detection)🚧by 张涛

🏷Caffe

Model / Code tag 0.2.0.8

iPhone 6s Plus

MI 6 (4 threads)

mtcnn_v1_det10.020.04
mtcnn_v1_det20.190.23
mtcnn_v1_det3 0.800.85
mtcnn_v2_det10.030.04
mtcnn_v2_det2 0.190.25
mtcnn_v2_det30.710.83
mtcnn_v2_det41.141.34

Multi Person MobileNet

🏷TensorFlow

Model / Code tag 0.2.0.8

iPhone 6s Plus

MI 6 (4 threads)

multi_person_mobilenet_v1_07533.39

41.01


SqueezeNet

SampleiOSAndroid

🏷Caffe

Model / Code tag 0.2.0.8

iPhone 6s Plus

MI 6 (4 threads)

squeezenet_v1.0 (batch = 10)374.63

418.06

squeezenet_v1.1 (batch = 10)186.66

187.51

🏷TensorFlow

Model / Code tag 0.2.0.8

iPhone 6s Plus

MI 6 (4 threads)

squeezenet_tf33.99

65.47


YOLO(s)

Sample:Linux/MacOS/Ubuntu(object detection)🚧by 艾普西隆, Linux(YOLO sets) 🚧by david8862

🏷TensorFlow

Model / Code tag 0.2.0.9

iPhone 6s Plus

MI 6 (4 threads)

voc320_opti_fc_quant

608.46


voc544_opti_fc1979.78