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Qualcomm® AI Hub Models
Lightweight-Face-Detection-Quantized

Profile Job Results

Jobs
jp3n9n6z5
Results Ready
Name
face_det_lite_quantized
Target Device
  • SA8255 (Proxy)
  • Android 13
  • Qualcomm® SA8255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
input: uint8[1, 480, 640, 1]
Completion Time
3/11/2025, 5:44:50 PM
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-2025.03.06.0
Estimated Inference Time
272 μs
Estimated Peak Memory Usage
0 ‑ 3 MB
Compute Units
NPU
122
StageTimeMemory
First App Load
149 ms0‑1 MB
Subsequent App Load
145 ms0‑2 MB
Inference
272 μs0‑3 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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