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ConvNext-Tiny-w8a8-Quantized

Profile Job Results

Jobs
jlpen8v8p
Results Ready
Name
convnext_tiny_w8a8_quantized
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
8/27/2024, 8:57:20 AM
Versions
  • QNN: v2.25.0.240728104910_97711
  • QNN Backend API: 5.25.0
  • QNN Core API: 2.18.0
  • Android: 12 (SP1A.210812.016)
  • AI Hub: aihub-2024.08.23.0
Estimated Inference Time
6.59 ms
Estimated Peak Memory Usage
0 - 8 MB
Compute Units
NPU
215
StageTimeMemory
First App Load
227 ms1-9 MB
Subsequent App Load
265 ms1-9 MB
Inference
6.59 ms0-8 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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