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Jobs
jgz392mo5
Results Ready
Name
regnet_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
1/21/2025, 5:31:40 PM
Versions
  • TensorFlow Lite: 2.17.0
  • QNN TfLite Delegate: v2.28.2.241116104011_103376
  • Android: 12 (SP1A.210812.016)
  • AI Hub: aihub-2025.01.04.0
Estimated Inference Time
2.42 ms
Estimated Peak Memory Usage
0 ‑ 33 MB
Compute Units
NPU
116
StageTimeMemory
First App Load
2.33 s194‑205 MB
Subsequent App Load
2.43 s181‑255 MB
Inference
2.42 ms0‑33 MB
TensorFlow LiteValue
number_of_threads4
QNN DelegateValue
backend_typekHtpBackend
log_levelkLogLevelWarn
htp_options.performance_modekHtpBurst
htp_options.precisionkHtpFp16
htp_options.useConvHmxtrue

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