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ConvNext-Tiny-w8a16-Quantized

Profile Job Results

Jobs
jp4lmw7l5
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
11/26/2024, 3:29:13 PM
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-2024.11.22.0
Estimated Inference Time
4.23 ms
Estimated Peak Memory Usage
0 ‑ 40 MB
Compute Units
NPU
215
StageTimeMemory
First App Load
1.59 s399‑408 MB
Subsequent App Load
1.48 s224‑385 MB
Inference
4.23 ms0‑40 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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