Profile Job Results

Jobs
jpxyl44lg
Results Ready
Name
eyegaze_float
Target Device
  • SA8255 (Proxy)
  • Android 13
  • Qualcomm® SA8255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 96, 160]
Completion Time
11/30/2025, 12:09:45 AM
Options
--qairt_version latest --compute_unit cpu
Versions
  • QAIRT: v2.40.0.251030114326_189385
  • QNN Backend API: 1.1.0
  • QNN Core API: 2.30.0
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2025.11.18.0
Estimated Inference Time
48.7 ms
Estimated Peak Memory Usage
35 ‑ 40 MB
Compute Units
CPU
482
StageTimeMemory
First App Load
40.1 ms0‑1 MB
Subsequent App Load
37.4 ms0‑46 MB
Inference
48.7 ms35‑40 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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