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ConvNext-Tiny-w8a16-Quantized

Profile Job Results

Jobs
jpv6ewym5
Results Ready
Name
convnext_tiny_w8a16_quantized
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: uint16[1, 224, 224, 3]
Completion Time
11/26/2024, 3:27:59 PM
Versions
  • QNN: v2.28.2.241116104011_103376
  • QNN Backend API: 5.28.0
  • QNN Core API: 2.21.0
  • Android: 15 (AQ3A.240829.003)
  • Build ID: Pakala.LA.1.0.r1-01032-STD.PROD-1
  • AI Hub: aihub-2024.11.22.0
Estimated Inference Time
2.44 ms
Estimated Peak Memory Usage
0 ‑ 36 MB
Compute Units
NPU
215
StageTimeMemory
First App Load
1.04 s397‑405 MB
Subsequent App Load
1.10 s366‑448 MB
Inference
2.44 ms0‑36 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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