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Beit

Profile Job Results

Jobs
jg9mwv6q5
Results Ready
Name
beit
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
8/22/2026, 10:42:54 AM
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
17.9 ms
Estimated Peak Memory Usage
0 ‑ 187 MB
Compute Units
NPU
533
StageTimeMemory
First App Load
10.1 s461‑462 MB
Subsequent App Load
391 ms186‑187 MB
Inference
17.9 ms0‑187 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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