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RegNet-Y-800MF

Profile Job Results

Jobs
jpxy6rnlg
Results Ready
Name
regnet_y_800mf_float
Target Device
  • SA8650 (Proxy)
  • Android 13
  • Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]
Completion Time
10/25/2025, 6:31:08 PM
Options
--qairt_version latest
Versions
  • QAIRT: v2.39.0.250925215840_163802
  • QNN Backend API: 5.39.0
  • QNN Core API: 2.29.0
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2025.10.21.0
Estimated Inference Time
1.30 ms
Estimated Peak Memory Usage
0 ‑ 12 MB
Compute Units
NPU
196
StageTimeMemory
First App Load
1.47 s137‑139 MB
Subsequent App Load
1.48 s159‑162 MB
Inference
1.30 ms0‑12 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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