Qualcomm® AI HubAI Hub

Profile Job Results

Jobs
j579o6rqg
Results Ready
Name
resnet_mixed
Target Device
  • Arduino VENTUNO Q
  • Ubuntu 24.04
  • Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
video: float32[1, 16, 112, 112, 15]
Completion Time
8/8/2026, 11:06:41 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
143 ms
Estimated Peak Memory Usage
12 ‑ 25 MB
Compute Units
NPU
58
StageTimeMemory
First App Load
1.28 min633 MB
Subsequent App Load
253 ms2 MB
Inference
143 ms12‑25 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