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Posenet-Mobilenet-Quantized

Profile Job Results

Jobs
j56yrewvp
Results Ready
Name
posenet_mobilenet_quantized
Target Device
  • QCS6490 (Proxy)
  • Android 12
  • Qualcomm® QCS6490
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 513, 257, 3]
Completion Time
11/26/2024, 11:41:20 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-2024.11.22.0
Estimated Inference Time
3.06 ms
Estimated Peak Memory Usage
0 ‑ 8 MB
Compute Units
NPU
69
StageTimeMemory
First App Load
354 ms0‑8 MB
Subsequent App Load
292 ms1‑9 MB
Inference
3.06 ms0‑8 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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