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Jobs
jgzlwenx5
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, 112, 3, 16, 112]
Completion Time
9/20/2026, 3:04:17 AM
Options
--qairt_version latest
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
28.3 ms
Estimated Peak Memory Usage
2 ‑ 7 MB
Compute Units
NPU
55
StageTimeMemory
First App Load
9.47 s218‑219 MB
Subsequent App Load
226 ms2‑3 MB
Inference
28.3 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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