Qualcomm® AI HubAI Hub

Profile Job Results

Jobs
jglvz44l5
Results Ready
Name
squeezenet1_1_quantized
Target Device
  • SA7255P ADP
  • Android 14
  • Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint8[1, 224, 224, 3]
Completion Time
1/21/2025, 5:15:50 PM
Versions
  • TensorFlow Lite: 2.17.0
  • QNN TfLite Delegate: v2.28.0.241029232508_102474-auto
  • Android: 14 (UQ1A.240205.002)
  • Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00012-STD.PROD-5
  • AI Hub: aihub-2025.01.04.0
Estimated Inference Time
1.27 ms
Estimated Peak Memory Usage
0 ‑ 10 MB
Compute Units
NPU
43
StageTimeMemory
First App Load
1.25 s25‑34 MB
Subsequent App Load
1.34 s21‑40 MB
Inference
1.27 ms0‑10 MB
TensorFlow LiteValue
number_of_threads4
QNN DelegateValue
backend_typekHtpBackend
log_levelkLogLevelWarn
htp_options.precisionkHtpFp16
htp_options.useConvHmxtrue

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

Run on device