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Datasheet#

This chapter describes the performance measurements of the Edge AI Inference demos.

Performance data of the demos can be auto generated by running following command on target:

debian@beaglebone:/opt/edge_ai_apps/tests# ./gen_data_sheet.sh

The performance measurements includes the following

  1. FPS : Effective framerate at which the application runs

  2. Total time : Average time taken to process each frame, which includes pre-processing, inference and post-processing time

  3. Inference time : Average time taken to infer each frame

  4. CPU loading : Loading on different CPU cores present

  5. DDR BW : DDR read and write BW used

  6. HWA Loading : Loading on different Hardware accelerators present

Following are the latest performance numbers of the C++ demos:

Source : USB Camera#

Capture Framerate : 30 fps Resolution : 720p format : JPEG

../../../../_images/edgeai_object_detection.png

Fig. 218 GStreamer based data-flow pipeline with USB camera input and display output#

Model

FPS

Total time (ms)

Inference time (ms)

A72 Load (%)

DDR Read BW (MB/s)

DDR Write BW (MB/s)

DDR Total BW (MB/s)

C71 Load (%)

C66_1 Load (%)

C66_2 Load (%)

MCU2_0 Load (%)

MCU2_1 Load (%)

MSC_0 (%)

MSC_1 (%)

VISS (%)

NF (%)

LDC (%)

SDE (%)

DOF (%)

ONR-CL-6150-mobileNetV2-1p4-qat

30.80

33.22

3.02

21.60

1596

619

2215

9.0

20.0

9.0

6.0

1.0

22.17

0

0

0

0

0

0

TFL-CL-0000-mobileNetV1-mlperf

30.69

33.19

1.04

15.93

1425

563

1988

5.0

22.0

9.0

6.0

1.0

21.90

0

0

0

0

0

0

TFL-OD-2020-ssdLite-mobDet-DSP-coco-320x320

30.69

33.25

5.00

10.24

1534

570

2104

15.0

29.0

9.0

6.0

1.0

22.67

0

0

0

0

0

0

TVM-CL-3410-gluoncv-mxnet-mobv2

30.58

33.21

2.02

22.80

1522

617

2139

6.0

20.0

9.0

6.0

1.0

21.84

0

0

0

0

0

0

Source : Video#

Video Framerate : 30 fps Resolution : 720p Encoding : h264

../../../../_images/edgeai_video_source.png

Fig. 219 GStreamer based data-flow pipeline with video file input source and display output#

Model

FPS

Total time (ms)

Inference time (ms)

A72 Load (%)

DDR Read BW (MB/s)

DDR Write BW (MB/s)

DDR Total BW (MB/s)

C71 Load (%)

C66_1 Load (%)

C66_2 Load (%)

MCU2_0 Load (%)

MCU2_1 Load (%)

MSC_0 (%)

MSC_1 (%)

VISS (%)

NF (%)

LDC (%)

SDE (%)

DOF (%)

ONR-CL-6150-mobileNetV2-1p4-qat

30.52

33.46

3.03

14.28

990

403

1393

2.0

7.0

4.0

1.0

1.0

10.27

0

0

0

0

0

0

TFL-CL-0000-mobileNetV1-mlperf

30.77

33.47

1.07

30.76

746

97

843

2.0

2.0

1.0

1.0

1.0

15.76

0

0

0

0

0

0

TFL-OD-2020-ssdLite-mobDet-DSP-coco-320x320

30.56

33.54

5.06

22.58

736

92

828

2.0

2.0

1.0

1.0

1.0

16.9

0

0

0

0

0

0

TVM-CL-3410-gluoncv-mxnet-mobv2

30.64

33.47

2.01

33.33

712

110

822

1.0

1.0

0.0

1.0

1.0

15.3

0

0

0

0

0

0

Source : CSI Camera (ov5640)#

Capture Framerate : 30 fps Resolution : 720p format : YUYV

../../../../_images/edgeai_ov5640_camera_source.png

Fig. 220 GStreamer based data-flow pipeline for with CSI camera (OV5640) input and display output#

Model

FPS

Total time (ms)

Inference time (ms)

A72 Load (%)

DDR Read BW (MB/s)

DDR Write BW (MB/s)

DDR Total BW (MB/s)

C71 Load (%)

C66_1 Load (%)

C66_2 Load (%)

MCU2_0 Load (%)

MCU2_1 Load (%)

MSC_0 (%)

MSC_1 (%)

VISS (%)

NF (%)

LDC (%)

SDE (%)

DOF (%)

ONR-CL-6150-mobileNetV2-1p4-qat

29.57

34.09

3.02

12.21

1671

699

2370

8.0

45.0

9.0

6.0

1.0

21.35

0

0

0

0

0

0

TFL-CL-0000-mobileNetV1-mlperf

29.41

34.15

1.01

10.27

1502

645

2147

5.0

47.0

9.0

6.0

1.0

20.96

0

0

0

0

0

0

TFL-OD-2020-ssdLite-mobDet-DSP-coco-320x320

29.36

34.65

5.00

10.5

1610

655

2265

14.0

53.0

9.0

6.0

1.0

21.47

0

0

0

0

0

0

TVM-CL-3410-gluoncv-mxnet-mobv2

29.38

34.17

2.01

11.66

1596

698

2294

6.0

45.0

9.0

5.0

1.0

21.10

0

0

0

0

0

0

Source : CSI Camera with VISS (imx219)#

Capture Framerate : 30 fps Resolution : 1080p format : SRGGB8

../../../../_images/edgeai_rpi_camera_source.png

Fig. 221 GStreamer based data-flow pipeline with IMX219 sensor, ISP and display#

Model

FPS

Total time (ms)

Inference time (ms)

A72 Load (%)

DDR Read BW (MB/s)

DDR Write BW (MB/s)

DDR Total BW (MB/s)

C71 Load (%)

C66_1 Load (%)

C66_2 Load (%)

MCU2_0 Load (%)

MCU2_1 Load (%)

MSC_0 (%)

MSC_1 (%)

VISS (%)

NF (%)

LDC (%)

SDE (%)

DOF (%)

ONR-CL-6150-mobileNetV2-1p4-qat

30.64

33.19

3.01

15.72

1781

853

2634

9.0

16.0

9.0

13.0

1.0

31.78

0

22.37

0

0

0

0

TFL-CL-0000-mobileNetV1-mlperf

30.59

33.14

1.04

12.78

1612

798

2410

5.0

18.0

9.0

13.0

1.0

31.65

0

22.31

0

0

0

0

TFL-OD-2020-ssdLite-mobDet-DSP-coco-320x320

30.56

33.07

5.00

13.30

1730

809

2539

15.0

25.0

9.0

13.0

1.0

32.6

0

22.19

0

0

0

0

TVM-CL-3410-gluoncv-mxnet-mobv2

30.48

33.14

2.01

12.91

1708

852

2560

7.0

16.0

9.0

13.0

1.0

31.83

0

22.26

0

0

0

0