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MediaPipe-Face-Detection-Quantized

Profile Job Results

Jobs
jp4klx3vg
Results Ready
Name
mediapipe_face_quantized_FaceLandmarkDetectorQuantizable
Target Device
  • XR2 Gen 2 (Proxy)
  • Android 13
  • Qualcomm® QCS8450
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 192, 192, 3]
Completion Time
4/8/2025, 11:32:50 AM
Versions
  • QAIRT: v2.32.0.250228225014_116386
  • QNN Backend API: 5.32.0
  • QNN Core API: 2.24.0
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2025.03.24.0
Estimated Inference Time
256 μs
Estimated Peak Memory Usage
0 ‑ 24 MB
Compute Units
NPU
112
StageTimeMemory
First App Load
379 ms33‑42 MB
Subsequent App Load
440 ms22‑58 MB
Inference
256 μs0‑24 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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