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MediaPipe-Hand-Detection

Profile Job Results

Jobs
jp0lmk36p
Results Ready
Name
mediapipe_hand_float_HandDetector
Target Device
  • SA8295P ADP
  • Android 14
  • Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 256, 256, 3]
Completion Time
11/30/2025, 2:12:00 AM
Options
--qairt_version latest
Versions
  • QAIRT: v2.40.0.251030114326_189385-auto
  • QNN Backend API: 5.40.0
  • QNN Core API: 2.30.0
  • Android: 14 (UQ1A.240205.002)
  • Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
  • AI Hub: aihub-2025.11.18.0
Estimated Inference Time
1.70 ms
Estimated Peak Memory Usage
1 ‑ 32 MB
Compute Units
NPU
197
StageTimeMemory
First App Load
1.34 s141‑147 MB
Subsequent App Load
1.37 s141‑274 MB
Inference
1.70 ms1‑32 MB
QNNValue
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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