Qualcomm® AI HubAI Hub

Profile Job Results

Jobs
jp14lyylp
Results Ready
Name
fcn_resnet50_quantized
Target Device
  • XR2 Gen 2 (Proxy)
  • Android 13
  • Qualcomm® QCS8450
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 520, 520, 3]
Completion Time
1/21/2025, 6:02:49 PM
Versions
  • TensorFlow Lite: 2.17.0
  • QNN TfLite Delegate: v2.28.2.241116104011_103376
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2025.01.04.0
Estimated Inference Time
17.9 ms
Estimated Peak Memory Usage
0 ‑ 47 MB
Compute Units
NPU
90
StageTimeMemory
First App Load
3.94 s245‑253 MB
Subsequent App Load
2.70 s284‑392 MB
Inference
17.9 ms0‑47 MB
TensorFlow LiteValue
number_of_threads4
QNN DelegateValue
backend_typekHtpBackend
log_levelkLogLevelWarn
htp_options.performance_modekHtpBurst
htp_options.precisionkHtpFp16
htp_options.useConvHmxtrue

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

Run on device