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Jobs
jgzzd4nxg
Results Ready
Name
levit
Target Device
  • Arduino VENTUNO Q
  • Ubuntu 24.04
  • Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image_tensor: float32[1, 224, 224, 3]
Completion Time
10/3/2026, 11:00:43 PM
Versions
  • Lite RT: 1.4.2
  • QAIRT: v2.50.0.260828221209
  • QNN TfLite Delegate: v2.50.0.260828221209
  • Qualcomm Linux: 24.04
  • AI Hub: aihub-2026.09.25.0
Estimated Inference Time
1.47 ms
Estimated Peak Memory Usage
0 ‑ 20 MB
Compute Units
NPU
282
StageTimeMemory
First App Load
2.02 s70 MB
Subsequent App Load
270 ms19‑20 MB
Inference
1.47 ms0‑20 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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