Profile Job Results

Jobs
jp0lmjjnp
Results Ready
Name
eyegaze_float
Target Device
  • QCS8450 (Proxy)
  • Android 13
  • Qualcomm® QCS8450
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 96, 160]
Completion Time
11/30/2025, 1:34:29 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
67.5 ms
Estimated Peak Memory Usage
38 ‑ 62 MB
Compute Units
CPU
482
StageTimeMemory
First App Load
48.5 ms0‑9 MB
Subsequent App Load
52.1 ms0‑17 MB
Inference
67.5 ms38‑62 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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