Qualcomm® AI HubAI Hub

Profile Job Results

Jobs
jpxlz4o8p
Results Ready
Name
posenet_mobilenet
Target Device
  • Arduino VENTUNO Q
  • Ubuntu 24.04
  • Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: uint8[1, 513, 257, 3]
Completion Time
9/26/2026, 10:59:03 PM
Versions
  • QAIRT: v2.50.0.260828221209
  • QNN Backend API: 5.50.0
  • QNN Core API: 2.39.0
  • Qualcomm Linux: 24.04
  • AI Hub: aihub-2026.09.11.0
Estimated Inference Time
562 μs
Estimated Peak Memory Usage
0 ‑ 4 MB
Compute Units
NPU
67
StageTimeMemory
First App Load
1.22 s53‑54 MB
Subsequent App Load
182 ms2‑3 MB
Inference
562 μs0‑4 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