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Profile Job Results

Jobs
j574ddel5
Results Ready
Name
face_attrib_net
Target Device
  • Arduino VENTUNO Q
  • Ubuntu 24.04
  • Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: uint8[1, 128, 128, 3]
Completion Time
8/22/2026, 4:49:18 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
435 μs
Estimated Peak Memory Usage
0 ‑ 2 MB
Compute Units
NPU
160
StageTimeMemory
First App Load
1.82 s116‑117 MB
Subsequent App Load
214 ms1‑2 MB
Inference
435 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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