Profile Job Results

Jobs
jg9w7r8lp
Results Ready
Name
bisenet_float
Target Device
  • SA8255 (Proxy)
  • Android 13
  • Qualcomm® SA8255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 720, 960, 3]
Completion Time
12/14/2025, 8:59:36 AM
Versions
  • QAIRT: v2.40.0.251030114326_189385
  • QNN Backend API: 5.40.0
  • QNN Core API: 2.30.0
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2025.12.07.0
Estimated Inference Time
32.2 ms
Estimated Peak Memory Usage
8 ‑ 27 MB
Compute Units
NPU
82
StageTimeMemory
First App Load
3.94 s225‑226 MB
Subsequent App Load
3.93 s256‑259 MB
Inference
32.2 ms8‑27 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

Sign up to run this model on a hosted Qualcomm® device!

Run on device