Qualcomm® AI HubAI Hub

Profile Job Results

Jobs
j5q6ke67p
Results Ready
Name
ffnet_54s_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, 1024, 2048, 3]
Completion Time
1/21/2025, 5:57:05 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
12.7 ms
Estimated Peak Memory Usage
1 ‑ 36 MB
Compute Units
NPU
117
StageTimeMemory
First App Load
3.07 s165‑173 MB
Subsequent App Load
2.50 s177‑269 MB
Inference
12.7 ms1‑36 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