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Qualcomm® AI Hub Models
Person-Foot-Detection

Profile Job Results

Jobs
jp3jxen3g
Results Ready
Name
foot_track_net
Target Device
  • SA8650 (Proxy)
  • Android 13
  • Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 480, 640, 3]
Completion Time
11/26/2024, 1:02:51 PM
Versions
  • QNN: v2.28.2.241116104011_103376
  • QNN Backend API: 5.28.0
  • QNN Core API: 2.21.0
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2024.11.22.0
Estimated Inference Time
4.94 ms
Estimated Peak Memory Usage
4 ‑ 6 MB
Compute Units
NPU
197
StageTimeMemory
First App Load
198 ms1‑2 MB
Subsequent App Load
176 ms1‑2 MB
Inference
4.94 ms4‑6 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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