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Jobs
jp0jred2g
Results Ready
Name
resnet_3d
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, 3]
Completion Time
8/22/2026, 6:05:16 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-2026.08.14.0
Estimated Inference Time
27.1 ms
Estimated Peak Memory Usage
2 ‑ 7 MB
Compute Units
NPU
53
StageTimeMemory
First App Load
10.4 s526‑527 MB
Subsequent App Load
199 ms2 MB
Inference
27.1 ms2‑7 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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