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Profile Job Results

Jobs
jgd3w22rp
Results Ready
Name
yamnet
Target Device
  • Arduino VENTUNO Q
  • Ubuntu 24.04
  • Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
audio: uint16[1, 1, 96, 64]
Completion Time
9/6/2026, 7:31:00 AM
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-2026.08.28.1
Estimated Inference Time
186 μs
Estimated Peak Memory Usage
0 ‑ 2 MB
Compute Units
NPU
60
StageTimeMemory
First App Load
564 ms96‑97 MB
Subsequent App Load
187 ms1‑2 MB
Inference
186 μs0‑2 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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