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Jobs
j5qv42j7g
Results Ready
Name
easyocr_detector
Target Device
  • Arduino VENTUNO Q
  • Ubuntu 24.04
  • Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: uint8[1, 608, 800, 3]
Completion Time
8/8/2026, 9:20:15 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-2026.07.31.1
Estimated Inference Time
11.1 ms
Estimated Peak Memory Usage
0 ‑ 25 MB
Compute Units
NPU
50
StageTimeMemory
First App Load
2.39 s245‑246 MB
Subsequent App Load
218 ms22‑23 MB
Inference
11.1 ms0‑25 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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