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Profile Job Results

Jobs
jpe72xeo5
Results Ready
Name
maskrcnn_roi_head
Target Device
  • Arduino VENTUNO Q
  • Ubuntu 24.04
  • Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
proposals_boxes: float32[1, 200, 4]
features_0: float32[1, 200, 200, 256]
features_1: float32[1, 100, 100, 256]
features_2: float32[1, 50, 50, 256]
features_3: float32[1, 25, 25, 256]
Completion Time
9/19/2026, 10:37:39 PM
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
242 ms
Estimated Peak Memory Usage
52 ‑ 107 MB
Compute Units
NPU
246
StageTimeMemory
First App Load
57.3 s459 MB
Subsequent App Load
450 ms2‑3 MB
Inference
242 ms52‑107 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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