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Jobs
jp3e1k4n5
Results Ready
Name
face_det_lite_float
Target Device
  • SA8255 (Proxy)
  • Android 13
  • Qualcomm® SA8255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
input: float32[1, 480, 640, 1]
Completion Time
10/26/2025, 4:15:29 AM
Options
--qairt_version latest
Versions
  • QAIRT: v2.39.0.250925215840_163802
  • QNN Backend API: 5.39.0
  • QNN Core API: 2.29.0
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2025.10.21.0
Estimated Inference Time
2.51 ms
Estimated Peak Memory Usage
1 ‑ 10 MB
Compute Units
NPU
127
StageTimeMemory
First App Load
663 ms91‑93 MB
Subsequent App Load
633 ms88‑91 MB
Inference
2.51 ms1‑10 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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