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Vladimir Mandic edited this page Mar 3, 2021 · 4 revisions

Performance

Performance will vary depending on your hardware, but also on number of resolution of input video/image, enabled modules as well as their parameters

For example, it can perform multiple face detections at 60+ FPS, but drops to ~20 FPS on a medium complex images if all modules are enabled


Performance per module on a notebook with nVidia GTX1050 GPU on a FullHD input

  • Enabled all: 20 FPS
  • Image filters: 80 FPS (standalone)
  • Gesture: 80 FPS (standalone)
  • Face Detect: 80 FPS (standalone)
  • Face Geometry: 30 FPS (includes face detect)
  • Face Iris: 30 FPS (includes face detect and face geometry)
  • Age: 60 FPS (includes face detect)
  • Gender: 60 FPS (includes face detect)
  • Emotion: 60 FPS (includes face detect)
  • Hand: 40 FPS (standalone)
  • Body: 50 FPS (standalone)

Performance per module on a smartphone with Snapdragon 855 on a FullHD input

  • Enabled all: 10 FPS
  • Image filters: 30 FPS (standalone)
  • Gesture: 30 FPS (standalone)
  • Face Detect: 20 FPS (standalone)
  • Face Geometry: 10 FPS (includes face detect)
  • Face Iris: 5 FPS (includes face detect and face geometry)
  • Age: 20 FPS (includes face detect)
  • Gender: 20 FPS (includes face detect)
  • Emotion: 20 FPS (includes face detect)
  • Hand: 40 FPS (standalone)
  • Body: 15 FPS (standalone)

For performance details, see output of result.performance object during after running inference

Human Library Wiki Pages
3D Face Detection, Body Pose, Hand & Finger Tracking, Iris Tracking, Age & Gender Prediction, Emotion Prediction & Gesture Recognition

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