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ConvNext-Tiny-w8a16-Quantized

Profile Job Results

Jobs
jqpy8y80g
Results Ready
Name
convnext_tiny_w8a16_quantized
Target Device
  • Samsung Galaxy S24+
  • Android 14
  • Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint16[1, 224, 224, 3]
Completion Time
8/11/2024, 9:16:51 AM
Versions
  • QNN: v2.24.0.240626131148_96320
  • QNN Backend API: 5.24.0
  • QNN Core API: 2.17.0
  • Android: 14 (UP1A.231005.007)
  • AI Hub: aihub-2024.08.01.0
Estimated Inference Time
2.57 ms
Estimated Peak Memory Usage
0 - 26 MB
Compute Units
NPU
215
StageTimeMemory
First App Load
863 ms326-334 MB
Subsequent App Load
784 ms200-330 MB
Inference
2.57 ms0-26 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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