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Qualcomm® AI Hub Models
Person-Foot-Detection

Profile Job Results

Jobs
jpynjyr8g
Results Ready
Name
foot_track_net
Target Device
  • QCS8450 (Proxy)
  • Android 13
  • Qualcomm® QCS8450
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: uint8[1, 480, 640, 3]
Completion Time
5/31/2026, 12:37:44 PM
Versions
  • QAIRT: v2.45.0.260326154327
  • QNN Backend API: 5.45.0
  • QNN Core API: 2.34.0
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2026.05.27.0
Estimated Inference Time
1.46 ms
Estimated Peak Memory Usage
1 ‑ 54 MB
Compute Units
NPU
198
StageTimeMemory
First App Load
798 ms74‑80 MB
Subsequent App Load
187 ms6‑60 MB
Inference
1.46 ms1‑54 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.optimizations[0].typeFINALIZE_OPTIMIZATION_FLAG
default_graph_options.htp_options.optimizations[0].value3.0
default_graph_options.htp_options.precisionFLOAT16
default_graph_options.htp_options.vtcm_size0

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