benchmarks / competitors /openface3_speed.json
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{
"tool": "openface3",
"fixture": "single_face.mp4 (40 frames)",
"metric": "end-to-end fps (RetinaFace detect + STAR landmark + MTL AU/emotion/gaze)",
"note": "Per-frame pipeline (no batching). Runs on Blackwell (modern torch), unlike LibreFace. The pip CLI hardcodes device='cpu' and never passes device_ids; constructed the FaceDetector/LandmarkDetector(device_ids=[0])/MultitaskPredictor objects directly for real GPU.",
"fps": {"rtx3090": 17.5, "blackwell": 18.7}
}