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PPE-Detection-Quantized

Profile Job Results

Jobs
j5q6nlqnp
Results Ready
Name
gear_guard_net_quantized
Target Device
  • QCS6490 (Proxy)
  • Android 12
  • Qualcomm® QCS6490
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 320, 192, 3]
Completion Time
1/8/2025, 6:41:14 AM
Versions
  • QNN: v2.28.2.241116104011_103376
  • QNN Backend API: 5.28.0
  • QNN Core API: 2.21.0
  • Android: 12 (SP1A.210812.016)
  • AI Hub: aihub-2025.01.04.0
Estimated Inference Time
1.79 ms
Estimated Peak Memory Usage
0 ‑ 11 MB
Compute Units
NPU
103
StageTimeMemory
First App Load
196 ms0‑11 MB
Subsequent App Load
168 ms0‑11 MB
Inference
1.79 ms0‑11 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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