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ConvNext-Tiny

Profile Job Results

Jobs
jp4n1k7vg
Results Ready
Name
convnext_tiny
Target Device
  • Snapdragon 8 Elite QRD
  • Android 15
  • Snapdragon® 8 Elite | SM8750
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]
Completion Time
3/11/2025, 7:29:37 PM
Versions
  • QAIRT: v2.32.0.250228225014_116386
  • QNN Backend API: 5.32.0
  • QNN Core API: 2.24.0
  • Android: 15 (AQ3A.241126.002)
  • Build ID: Pakala.LA.1.0.r1-01152-STD.PROD-1
  • AI Hub: aihub-2025.03.06.0
Estimated Inference Time
2.22 ms
Estimated Peak Memory Usage
0 ‑ 96 MB
Compute Units
NPU
232
StageTimeMemory
First App Load
1.82 s592‑599 MB
Subsequent App Load
1.81 s536‑641 MB
Inference
2.22 ms0‑96 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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