Qualcomm® AI HubAI Hub

Profile Job Results

Jobs
jpv7l38jp
Results Ready
Name
face_det_lite
Target Device
  • Arduino VENTUNO Q
  • Ubuntu 24.04
  • Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
input: uint16[1, 480, 640, 1]
Completion Time
8/8/2026, 3:05:54 PM
Versions
  • QAIRT: v2.45.0.260326154327
  • QNN Backend API: 5.45.0
  • QNN Core API: 2.34.0
  • Qualcomm Linux: 24.04
  • AI Hub: aihub-2026.07.31.1
Estimated Inference Time
1.33 ms
Estimated Peak Memory Usage
1 ‑ 4 MB
Compute Units
NPU
124
StageTimeMemory
First App Load
1.19 s177 MB
Subsequent App Load
229 ms2 MB
Inference
1.33 ms1‑4 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

Sign up to run this model on a hosted Qualcomm® device!

Run on device