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VITQuantized

Profile Job Results

Jobs
j5q6n117p
Results Ready
Name
vit_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
1/8/2025, 9:17:14 AM
Versions
  • QNN: v2.28.2.241116104011_103376
  • QNN Backend API: 5.28.0
  • QNN Core API: 2.21.0
  • Android: 12 (SP1A.210812.016)
  • AI Hub: aihub-2025.01.04.0
Estimated Inference Time
21.7 ms
Estimated Peak Memory Usage
0 ‑ 12 MB
Compute Units
NPU
902
StageTimeMemory
First App Load
326 ms0‑12 MB
Subsequent App Load
240 ms0‑12 MB
Inference
21.7 ms0‑12 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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