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Jobs
jgzm7vwzp
Results Ready
Name
real_esrgan_general_x4v3
Target Device
  • Arduino VENTUNO Q
  • Ubuntu 24.04
  • Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 128, 128, 3]
Completion Time
8/22/2026, 6:03:49 PM
Versions
  • Lite RT: 1.4.5
  • QAIRT: v2.45.0.260326154327
  • QNN TfLite Delegate: v2.45.0.260326154327
  • Qualcomm Linux: 24.04
  • AI Hub: aihub-2026.08.14.0
Estimated Inference Time
10.3 ms
Estimated Peak Memory Usage
3 ‑ 11 MB
Compute Units
NPU
74
StageTimeMemory
First App Load
1.76 s196‑197 MB
Subsequent App Load
223 ms4‑5 MB
Inference
10.3 ms3‑11 MB
Lite RTValue
number_of_threads4
QNN DelegateValue
backend_typekHtpBackend
log_levelkLogLevelWarn
htp_options.performance_modekHtpBurst
htp_options.precisionkHtpFp16
htp_options.optimization_strategykHtpOptimizeForInferenceO3
htp_options.useConvHmxtrue

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