Qualcomm® AI HubAI Hub
Qualcomm® AI Hub Models
NASNet

Profile Job Results

Jobs
jgnnjwyjg
Results Ready
Name
nasnet
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, 331, 331, 3]
Completion Time
9/5/2026, 3:00:42 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-2026.08.28.1
Estimated Inference Time
27.9 ms
Estimated Peak Memory Usage
0 ‑ 193 MB
Compute Units
NPU
784
StageTimeMemory
First App Load
29.6 s593‑594 MB
Subsequent App Load
415 ms191‑192 MB
Inference
27.9 ms0‑193 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

Sign up to run this model on a hosted Qualcomm® device!

Run on device