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MobileNet-v2-Quantized

Profile Job Results

Jobs
jgjzvqd15
Results Ready
Name
mobilenet_v2
Target Device
  • QCS6490 (Proxy)
  • Android 12
  • Qualcomm® QCS6490
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint8[1, 224, 224, 3]
Completion Time
4/8/2025, 3:21:55 PM
Versions
  • QAIRT: v2.32.0.250228225014_116386
  • QNN Backend API: 5.32.0
  • QNN Core API: 2.24.0
  • Android: 12 (SP1A.210812.016)
  • AI Hub: aihub-2025.03.24.0
Estimated Inference Time
1.32 s
Estimated Peak Memory Usage
160 ‑ 15,120 GB
Compute Units
NPU
105
StageTimeMemory
First App Load
2.76 min284‑7,210 GB
Subsequent App Load
2.56 min240‑14,213 GB
Inference
1.32 s160‑15,120 GB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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