Profile Job Results
Jobs
jp03zo10p
Results Ready
Name
deeplabv3_plus_mobilenet
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 520, 520, 3]Completion Time
4/8/2025, 6:47:51 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.32.0.250228225014_116386-auto
- QNN TfLite Delegate: v2.32.0.250228225014_116386-auto
- Android: 14 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2025.03.24.0
Estimated Inference Time
6.94 s
Estimated Peak Memory Usage
280 ‑ 32,933 GB
Compute Units
NPU
136
| Stage | Time | Memory |
|---|---|---|
First App Load | 39.7 min | 46,416‑52,761 GB |
Subsequent App Load | 40.2 min | 85,072‑136,203 GB |
Inference | 6.94 s | 280‑32,933 GB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.precision | kHtpFp16 |
| htp_options.useConvHmx | true |
Sign up to run this model on a hosted Qualcomm® device!
Run on device