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VIT

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Jobs
jpym8j9rp
Results Ready
Name
vit
Target Device
  • Arduino VENTUNO Q
  • Ubuntu 24.04
  • Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image_tensor: uint8[1, 224, 224, 3]
Completion Time
8/8/2026, 7:36:13 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
13.6 ms
Estimated Peak Memory Usage
0 ‑ 87 MB
Compute Units
NPU
587
StageTimeMemory
First App Load
11.3 s338‑339 MB
Subsequent App Load
253 ms89‑90 MB
Inference
13.6 ms0‑87 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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