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Profile Job Results

Jobs
jgd61znep
Results Ready
Name
rangenet_plus_plus
Target Device
  • Arduino VENTUNO Q
  • Ubuntu 24.04
  • Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
range_image: uint16[1, 64, 2048, 5]
Completion Time
10/3/2026, 10:27:07 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-2026.09.25.0
Estimated Inference Time
63.5 ms
Estimated Peak Memory Usage
1 ‑ 10 MB
Compute Units
NPU
173
StageTimeMemory
First App Load
16.1 s418‑419 MB
Subsequent App Load
301 ms2‑3 MB
Inference
63.5 ms1‑10 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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