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ConvNext-Tiny-w8a16-Quantized

Profile Job Results

Jobs
jgjv9ynxg
Results Ready
Name
convnext_tiny_w8a16_quantized
Target Device
  • XR2 Gen 2 (Proxy)
  • Android 13
  • Qualcomm® QCS8450
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint16[1, 224, 224, 3]
Completion Time
1/8/2025, 8:46:39 AM
Versions
  • QNN: v2.28.2.241116104011_103376
  • QNN Backend API: 5.28.0
  • QNN Core API: 2.21.0
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2025.01.04.0
Estimated Inference Time
4.29 ms
Estimated Peak Memory Usage
0 ‑ 41 MB
Compute Units
NPU
215
StageTimeMemory
First App Load
1.39 s359‑368 MB
Subsequent App Load
1.73 s314‑480 MB
Inference
4.29 ms0‑41 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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