Qualcomm® AI HubAI Hub
Qualcomm® AI Hub Models
RegNet-Y-800MF

Profile Job Results

Jobs
jp23kzk4g
Results Ready
Name
regnet_y_800mf
Target Device
  • QCS8450 (Proxy)
  • Android 13
  • Qualcomm® QCS8450
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image_tensor: float32[1, 224, 224, 3]
Completion Time
5/2/2026, 1:16:56 PM
Versions
  • LiteRT: 1.4.3
  • QAIRT: v2.45.0.260326154327
  • QNN TfLite Delegate: v2.45.0.260326154327
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2026.04.25.0
Estimated Inference Time
2.23 ms
Estimated Peak Memory Usage
0 ‑ 75 MB
Compute Units
NPU
140
StageTimeMemory
First App Load
987 ms133‑141 MB
Subsequent App Load
208 ms1‑77 MB
Inference
2.23 ms0‑75 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