You're reading the documentation for a development version.
For the latest stable release version, please have a look at master.

性能测试

测试硬件信息

板卡型号

CPU 频率 (GHz)

NPU 频率 (GHz)

DDR传输速率 (MT/s)

DDR4内存容量 (G)

FT78E_DSKC_202311V0

1.6

1

2666

8

模型详情

index

model_name

model_size

framework

input

sum_macc

sum_param

layers_number

1

mobilenet_v2_tflite

13.98 MB

tflite

1x3x224x224

307.1M

3.31M

101

2

mobilenet_v2_pb

7.93 MB

tensorflow

1x3x224x224

19.52M

1.86M

101

3

mobilenet_v2_caffe

14.19 MB

caffe

1x3x224x224

437.64M

3.31M

102

4

shufflenet_v2_x0.5

5.53 MB

caffe

1x3x224x224

41.57M

1.29M

126

5

squeezenet_v1.1_pth

6.12 MB

pytorch

1x3x224x224

351.74M

1.17M

56

6

efficientnet_b0

21.2 MB

onnx

1x3x224x224

395.3M

5.34M

193

7

shufflenet_v1_pth

7.61 MB

onnx

1x3x224x224

141.36M

1.72M

117

8

resnet50

102.46 MB

caffe

1x3x224x224

3.87G

26.37M

120

9

resnet18

46.93 MB

pytorch

1x3x224x224

1.82G

10.9M

48

10

pva_faster_rcnn_original

37.12 MB

caffe

1x3x256x320

404.59M

51.42M

146

11

alexnet

243.86 MB

caffe

1x3x227x227

704.74M

36.47M

19

12

bvlc_googlenet

28.02 MB

onnx

1x3x224x224

1.59G

6.69M

132

13

inception_v3

95.61 MB

tensorflow

1x3x229x229

5.72G

24.74M

207

14

inception_v4

171.05 MB

caffe

1x3x229x229

12.27G

41.43M

319

15

resnet101

178.09 MB

tensorflow

1x3x224x224

7.21G

42.38M

237

16

vgg16

553.43 MB

caffe

1x3x224x224

15.41G

58.28M

35

17

mobilenet_ssd

23.15 MB

caffe

1x3x300x300

1.16G

5.5M

93

18

prototypical_network

438.0 KB

pytorch

1x1x28x28

9.88M

108.56K

16

19

u2netp

6.1 MB

pytorch

1x3x320x320

19.88G

1.07M

386

20

openpose

15.9 MB

pytorch

1x3x256x424

7.15G

3.88M

126

21

yolo_v2

269.87 MB

caffe

1x3x416x416

17.52G

64.3M

49

22

yolov3

248.01 MB

darknet

1x3x416x416

32.98G

59.03M

172

23

yolov4-tiny

24.25 MB

darknet

1x3x416x416

3.46G

5.77M

45

24

yolov4_416

257.72 MB

darknet

1x3x416x416

30.07G

61.32M

245

25

yolov5s_640

29.3 MB

pytorch

1x3x640x640

8.25G

6.88M

255

26

yolov7_640

147.7 MB

pytorch

1x3x640x640

52.34G

35.17M

304

27

yolov7_w6

281.6 MB

pytorch

1x3x1280x1280

45.02G

67.1M

346

28

yolov7-tiny-640

23.7 MB

pytorch

1x3x640x640

6.87G

61.87M

140

29

yolov7_tiny_d_640

25.0 MB

darknet

1x3x640x640

6.87G

59.98M

98

30

yolov8s

44.8 MB

pytorch

1x3x640x640

4.34G

10.63M

237

31

yolov8n_640

12.0 MB

pytorch

1x3x640x640

4.39G

3.0M

235

32

yolox_s

35.9MB

pytorch

1x3x416x416

5.65G

8.53M

272

33

superpoint

5.2MB

tensorflow

1x1x416x416

14.71G

1.24M

30

34

swin-T

112.6MB

pytorch

1x3x224x224

4.51G

4.04G

897

模型测试结果

index

model_name

model_type

nbg_size

avg(ms)

best(ms)

Time_1

Time_2

Time_3

1

mobilenet_v2_tflite

uint8

3.43 MB

2.04

2.01

2.07

2.04

2.01

mobilenet_v2_tflite

int8

3.55 MB

6.74

6.67

6.67

6.7

6.84

mobilenet_v2_tflite

int16

7.03 MB

10.71

10.61

10.61

10.64

10.89

mobilenet_v2_tflite

float

8.34 MB

142.59

142.54

142.58

142.64

142.54

2

mobilenet_v2_pb

uint8

14.11 MB

1.07

1.05

1.05

1.08

1.07

mobilenet_v2_pb

int8

9.89 MB

1

0.98

1.02

0.98

0.99

mobilenet_v2_pb

int16

19.46 MB

1.97

1.95

1.95

2

1.97

mobilenet_v2_pb

float

5.26 MB

16.7

16.68

16.68

16.7

16.73

3

mobilenet_v2_caffe

uint8

3.4 MB

2.26

2.22

2.26

2.28

2.22

mobilenet_v2_caffe

int8

2.97 MB

2.1

2.09

2.1

2.11

2.09

mobilenet_v2_caffe

int16

6.72 MB

9.78

9.77

9.77

9.79

9.79

mobilenet_v2_caffe

float

8.34 MB

196.43

196.21

196.74

196.21

196.34

4

shufflenet_v2_x0.5

uint8

1.63 MB

1.1

1.1

1.11

1.1

1.1

shufflenet_v2_x0.5

int8

1.34 MB

1.05

1.05

1.06

1.05

1.05

shufflenet_v2_x0.5

int16

2.71 MB

2.28

2.27

2.27

2.27

2.29

shufflenet_v2_x0.5

float

3.53 MB

23.03

23.01

23.04

23.05

23.01

5

shufflenet_v1_pth

uint8

1.13 MB

4.17

4.15

4.18

4.18

4.15

shufflenet_v1_pth

int8

1.14 MB

3.56

3.56

3.57

3.57

3.56

shufflenet_v1_pth

int16

2.25 MB

8.09

8.06

8.11

8.12

8.06

shufflenet_v1_pth

float

2.78 MB

176.81

176.71

176.71

176.87

176.83

6

efficientnet-b0

uint8

5.7 MB

11.64

11.53

11.66

11.73

11.53

efficientnet-b0

int8

9.08 MB

9.82

9.71

9.82

9.92

9.71

efficientnet-b0

int16

13.16 MB

18.65

18.65

18.65

18.65

18.65

efficientnet-b0

float

15.13 MB

330.5

330.47

330.55

330.49

330.47

7

squeezenet_v1.1_pth

uint8

1.73 MB

1.17

1.15

1.18

1.18

1.15

squeezenet_v1.1_pth

int8

1.65 MB

1.16

1.16

1.16

1.16

1.17

squeezenet_v1.1_pth

int16

3.72 MB

2.12

2.1

2.11

2.14

2.1

squeezenet_v1.1_pth

float

8.28 MB

141.8

141.32

142.04

142.04

141.32

8

resnet50

uint8

16.93 MB

10.26

10.23

10.23

10.25

10.29

resnet50

int8

15.08 MB

9.39

9.37

9.4

9.37

9.39

resnet50

int16

40.79 MB

31.13

30.97

30.97

31.36

31.05

resnet50

float

53.11 MB

1100.26

1098.59

1098.59

1100.48

1101.72

9

resnet18

uint8

8.34 MB

4.48

4.47

4.49

4.47

4.49

resnet18

int8

6.99 MB

2.85

2.82

2.82

2.84

2.9

resnet18

int16

18.85 MB

7.52

7.45

7.6

7.52

7.45

resnet18

float

23.97 MB

489.2

487.04

489.45

491.1

487.04

10

pva_faster_rcnn_original

uint8

6.55 MB

5.37

5.34

5.36

5.34

5.41

pva_faster_rcnn_original

int8

6.2 MB

5.1

5.08

5.08

5.14

5.1

pva_faster_rcnn_original

int16

15.45 MB

10

9.95

10.06

9.98

9.95

pva_faster_rcnn_original

float

19.45 MB

332.84

332.6

333.25

332.6

332.67

11

alexnet

uint8

56.57 MB

5

4.98

5.03

4.98

4.99

alexnet

int8

46.06 MB

4.01

3.96

4

3.96

4.08

alexnet

int16

108.82 MB

10.55

10.53

10.54

10.53

10.58

alexnet

float

151.87 MB

296.36

292.45

292.45

297.58

299.05

12

bvlc_googlenet

uint8

5.8 MB

4.25

4.24

4.24

4.27

4.24

bvlc_googlenet

int8

5.16 MB

4.1

4.08

4.1

4.08

4.13

bvlc_googlenet

int16

11.96 MB

8.91

8.84

8.84

8.84

9.06

bvlc_googlenet

float

15.38 MB

478.83

478.38

479.53

478.58

478.38

13

inception_v3

uint8

25.01 MB

12.77

12.76

12.76

12.78

12.76

inception_v3

int8

22.05 MB

12.03

12.01

12.02

12.06

12.01

inception_v3

int16

53.39 MB

35.88

35.67

36.22

35.67

35.77

inception_v3

float

50.24 MB

1785.26

1779.88

1779.88

1791.08

1784.84

14

inception_v4

uint8

44.54 MB

24.81

24.79

24.8

24.83

24.79

inception_v4

int8

39.59 MB

23.33

23.3

23.34

23.34

23.3

inception_v4

int16

94.52 MB

75.98

75.74

75.84

76.35

75.74

inception_v4

float

88.06 MB

3449.72

3433.61

3433.61

3462.09

3453.47

15

resnet101

uint8

30.84 MB

13.52

13.42

13.7

13.43

13.42

resnet101

int8

27.29 MB

13.03

12.96

12.96

13.06

13.07

resnet101

int16

72.13 MB

42.18

42.12

42.18

42.12

42.24

resnet101

float

91.62 MB

1979.12

1978.77

1979.2

1979.4

1978.77

16

vgg16

uint8

107.89 MB

12.01

11.86

11.86

12.26

11.93

vgg16

int8

102.45 MB

9.89

9.86

9.95

9.88

9.86

vgg16

int16

246.7 MB

36.99

36.83

37.1

36.83

37.03

vgg16

float

332.82 MB

4036.01

4019.07

4042.73

4046.23

4019.07

17

mobilenet_ssd

uint8

4.37 MB

3.6

3.6

3.6

3.6

3.6

mobilenet_ssd

int8

4.07 MB

3.61

3.6

3.61

3.61

3.6

mobilenet_ssd

int16

10.01 MB

16.56

16.52

16.59

16.52

16.58

mobilenet_ssd

float

12.07 MB

386.95

385.8

388.86

385.8

386.2

18

prototypical_network

uint8

114.0 KB

0.05

0.05

0.05

0.05

0.05

prototypical_network

int8

110.0 KB

0.05

0.05

0.06

0.05

0.05

prototypical_network

int16

227.0 KB

0.1

0.1

0.1

0.1

0.1

prototypical_network

float

276.0 KB

2.96

2.96

2.96

2.96

2.96

19

u2netp

uint8

3.71 MB

61.6

61.57

61.57

61.59

61.63

u2netp

int8

1.27 MB

141.19

140.85

141.52

140.85

141.2

u2netp

int16

2.45 MB

227.79

227.44

227.54

227.44

228.38

u2netp

float

4.16 MB

10124.1

10122.2

10125.3

10124.8

10122.2

20

openpose

uint8

3.02 MB

8.27

8.22

8.22

8.26

8.32

openpose

int8

2.65 MB

8.11

8.06

8.15

8.06

8.1

openpose

int16

6.09 MB

70.25

70.24

70.24

70.26

70.25

openpose

float

11.4 MB

2868.76

2851.17

2886.11

2851.17

2869.01

21

yolo_v2

uint8

46.36 MB

19.65

19.6

19.68

19.6

19.66

yolo_v2

int8

42.04 MB

19.3

19.21

19.3

19.21

19.4

yolo_v2

int16

110.81 MB

64.89

64.76

64.88

65.04

64.76

yolo_v2

float

135.15 MB

4988.01

4981.53

4995.26

4987.25

4981.53

22

yolov3

uint8

42.0 MB

52.66

52.63

52.63

52.71

52.63

yolov3

int8

37.58 MB

49.34

49.31

49.31

49.37

49.34

yolov3

int16

102.0 MB

129.41

129.32

129.51

129.32

129.4

yolov3

float

124.71 MB

8880.21

8868.96

8887.41

8868.96

8884.26

23

yolov4-tiny

uint8

3.99 MB

13.62

13.52

13.65

13.52

13.68

yolov4-tiny

int8

3.44 MB

13.38

13

13

13.64

13.52

yolov4-tiny

int16

9.88 MB

13.98

13.88

14.11

13.96

13.88

yolov4-tiny

float

12.34 MB

943.66

943.16

943.16

943.72

944.12

24

yolov4_416

uint8

41.05 MB

80.36

80.28

80.33

80.45

80.28

yolov4_416

int8

36.9 MB

120.37

120.22

120.52

120.38

120.22

yolov4_416

int16

102.44 MB

220

219.9

220.12

219.9

219.97

yolov4_416

float

129.9 MB

8523.89

8518.15

8520.02

8533.5

8518.15

25

yolov5s_640

uint8

7.0 MB

51.75

51.69

51.81

51.69

51.75

yolov5s_640

int8

6.4 MB

50.6

50.53

50.62

50.53

50.65

yolov5s_640

int16

19.0 MB

103

102.9

102.93

103.18

102.9

yolov5s_640

float

15.5 MB

2737.03

2733.34

2733.34

2734.17

2743.57

26

yolov7

uint8

27.4 MB

221.31

220.37

221.83

220.37

221.74

yolov7

int8

24.1 MB

300.43

299.59

300.86

299.59

300.84

yolov7

int16

65.3 MB

514.31

513.8

513.8

515.15

513.99

yolov7

float

74.8 MB

16486.1

16477.1

16482.9

16477.1

16498.2

27

yolov7-w6

uint8

51.5 MB

208.91

208.48

209.73

208.51

208.48

yolov7-w6

int8

46.1 MB

230.74

230.38

230.71

230.38

231.15

yolov7-w6

int16

114.0 MB

362.58

362.06

362.06

363.04

362.64

yolov7-w6

float

142.0 MB

12818.7

12817.2

12819.1

12817.2

12819.7

28

yolov7-tiny-640

uint8

5.92 MB

39.24

39.21

39.22

39.28

39.21

yolov7-tiny-640

int8

5.43 MB

31.3

31.25

31.25

31.28

31.38

yolov7-tiny-640

int16

15.2 MB

103.79

103.78

103.82

103.78

103.78

yolov7-tiny-640

float

15.3 MB

2234.78

2234

2234

2235.39

2234.95

29

yolov7_tiny_d_640

uint8

4.36 MB

34.83

34.8

34.82

34.87

34.8

yolov7_tiny_d_640

int8

3.9 MB

26.94

26.91

26.91

26.97

26.93

yolov7_tiny_d_640

int16

10.3 MB

98.22

98.18

98.18

98.21

98.29

yolov7_tiny_d_640

float

12.7 MB

2228.84

2223.21

2233.52

2229.79

2223.21

30

yolov8s

uint8

9.2 MB

54.61

54.47

54.59

54.78

54.47

yolov8s

int8

8.1 MB

53.49

53.03

53.58

53.03

53.87

yolov8s

int16

22.6 MB

111.19

111.12

111.22

111.24

111.12

yolov8s

float

25.8 MB

4105.95

4104.29

4104.29

4106.98

4106.6

31

yolov8n_640

uint8

4.66 MB

48.34

48.28

48.33

48.28

48.41

yolov8n_640

int8

4.3 MB

33.23

33.21

33.21

33.24

33.23

yolov8n_640

int16

9.1 MB

75.55

75.34

75.49

75.8

75.34

yolov8n_640

float

9.5 MB

1575.63

1575.46

1575.63

1575.82

1575.46

32

yolox_s

uint8

7.4 MB

21.6

21.46

21.46

21.76

21.57

yolox_s

int8

6.7 MB

21.17

21

21

21.28

21.23

yolox_s

int16

16.3 MB

53.53

53.38

53.81

53.38

53.41

yolox_s

float

19.5 MB

1666.07

1665.22

1667.53

1665.22

1665.45

33

superpoint

uint8

0.66 MB

6.46

6.45

6.46

6.46

6.45

superpoint

int8

0.62 MB

6.43

6.36

6.4

6.53

6.36

superpoint

int16

3.3 MB

29.04

29.02

29.05

29.04

29.02

superpoint

float

2.9 MB

6006.2

6003.57

6003.57

6008.61

6006.42

34

swin-T

uint8

22.4MB

290.76

290.54

291.08

290.54

290.66

swin-T

int8

20.8MB

286.45

286.35

286.43

286.58

286.35

swin-T

int16

54.1MB

357.63

356.74

358.09

356.74

358.06

swin-T

float

57.9MB

3534.78

3534.75

3534.79

3534.8

3534.75