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HRNetPoseQuantized

Profile Job Results

Jobs
jg9lky7vg
Results Ready
Name
hrnet_pose_quantized
Target Device
  • SA8255 (Proxy)
  • Android 13
  • Qualcomm® SA8255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 256, 192, 3]
Completion Time
11/26/2024, 12:42:28 PM
Versions
  • QNN: v2.28.2.241116104011_103376
  • QNN Backend API: 5.28.0
  • QNN Core API: 2.21.0
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2024.11.22.0
Estimated Inference Time
1.22 ms
Estimated Peak Memory Usage
0 ‑ 1 MB
Compute Units
NPU
748
StageTimeMemory
First App Load
189 ms1‑2 MB
Subsequent App Load
185 ms1‑2 MB
Inference
1.22 ms0‑1 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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