Benchmarks

The following benchmarks were run with a source video (1920x1080@60). With the following base gstremear pipeline, and environment variables:

$ VIDEO_FILE='video.mp4'
$ MODEL_LOCATION='graph_inceptionv1_tensorflow.pb'
$ INPUT_LAYER='input'
$ OUTPUT_LAYER='InceptionV1/Logits/Predictions/Reshape_1'

The environment variables were changed accordingly with the used model (Inception V1,V2,V3 or V4)

$ GST_DEBUG=inception1:1 gst-launch-1.0 filesrc location=$VIDEO_FILE ! decodebin ! videoconvert ! videoscale ! queue ! net.sink_model inceptionv1 name=net model-location=$MODEL_LOCATION backend=tensorflow backend::input-layer=$INPUT_LAYER  backend::output-layer=$OUTPUT_LAYER net.src_model ! perf ! fakesink -v

The Desktop PC had the following specifications:

Intel(R) Core(TM) i7-3770 CPU @ 3.40GHz
8 GB RAM
Cedar [Radeon HD 5000/6000/7350/8350 Series]
Linux 4.15.0-54-generic x86_64 (Ubuntu 16.04)

The Jetson Xavier power modes used were 2 and 6 (more information: Supported Modes and Power Efficiency )

Summary

Desktop PC	CPU Library
Model	Framerate	CPU Usage
Inception V1	11.89	48
Inception V2	10.33	65
Inception V3	5.41	90
Inception V4	3.81	94

Jetson Xavier (15W)	CPU Library		GPU Library
Model	Framerate	CPU Usage	Framerate	CPU Usage
Inception V1	8.24	86	52.3	43
Inception V2	6.58	88	39.6	42
Inception V3	2.54	92	17.8	25
Inception V4	1.22	94	9.4	20

Jetson Xavier (30W)	CPU Library		GPU Library
Model	Framerate	CPU Usage	Framerate	CPU Usage
Inception V1	6.41	93	66.27	72
Inception V2	5.11	95	50.59	62
Inception V3	1.96	98	22.95	44
Inception V4	0.98	99	12.14	32

Benchmarks

Summary

Framerate

CPU Usage