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Qualcomm® AI Hub Models
Person-Foot-Detection-Quantized

Profile Job Results

Jobs
jp0zwm395
Results Ready
Name
foot_track_net_quantized
Target Device
  • SA8295P ADP
  • Android 14
  • Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 480, 640, 3]
Completion Time
1/8/2025, 6:50:45 AM
Versions
  • QNN: v2.28.0.241029232508_102474-auto
  • QNN Backend API: 5.28.0
  • QNN Core API: 2.21.0
  • Android: 14 (UQ1A.240205.002)
  • Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
  • AI Hub: aihub-2025.01.04.0
Estimated Inference Time
2.92 ms
Estimated Peak Memory Usage
1 ‑ 15 MB
Compute Units
NPU
198
StageTimeMemory
First App Load
123 ms0‑6 MB
Subsequent App Load
120 ms0‑15 MB
Inference
2.92 ms1‑15 MB
QNNValue
default_graph_options.htp_options.precisionFLOAT16

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