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Person-Foot-Detection

Profile Job Results

Jobs
jprvrl27g
Results Ready
Name
foot_track_net
Target Device
  • QCS8550 (Proxy)
  • Android 12
  • Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 480, 640, 3]
Completion Time
1/8/2025, 6:49:01 AM
Versions
  • QNN: v2.28.2.241116104011_103376
  • QNN Backend API: 5.28.0
  • QNN Core API: 2.21.0
  • Android: 14 (UP1A.231005.007)
  • AI Hub: aihub-2025.01.04.0
Estimated Inference Time
4.88 ms
Estimated Peak Memory Usage
4 ‑ 7 MB
Compute Units
NPU
197
StageTimeMemory
First App Load
196 ms0‑2 MB
Subsequent App Load
162 ms0‑1 MB
Inference
4.88 ms4‑7 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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