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Jobs
jglvz4qm5
Results Ready
Name
quicksrnetlarge_quantized
Target Device
  • QCS6490 (Proxy)
  • Android 12
  • Qualcomm® QCS6490
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 128, 128, 3]
Completion Time
1/21/2025, 5:39:06 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
4.48 ms
Estimated Peak Memory Usage
2 ‑ 17 MB
Compute Units
NPU
30
CPU
3
StageTimeMemory
First App Load
611 ms31‑42 MB
Subsequent App Load
466 ms25‑49 MB
Inference
4.48 ms2‑17 MB
TensorFlow LiteValue
number_of_threads4
QNN DelegateValue
backend_typekHtpBackend
log_levelkLogLevelWarn
htp_options.performance_modekHtpBurst
htp_options.precisionkHtpFp16
htp_options.useConvHmxtrue
XNNPACK DelegateValue

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