Qualcomm® AI HubAI Hub

Profile Job Results

Jobs
jg9l1n4lg
Results Ready
Name
facemap_3dmm_quantized
Target Device
  • SA7255P ADP
  • Android 14
  • Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 3, 128, 128]
Completion Time
1/21/2025, 3:28:04 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
1.12 ms
Estimated Peak Memory Usage
0 ‑ 9 MB
Compute Units
NPU
43
StageTimeMemory
First App Load
1.18 s41‑50 MB
Subsequent App Load
1.27 s37‑53 MB
Inference
1.12 ms0‑9 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