Profile Job Results
Jobs
j5w3n4j6p
Results Ready
Name
deeplabv3_plus_mobilenet_w8a8
Target Device
- SA8650 (Proxy)
- Android 13
- Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 520, 520, 3]Completion Time
10/5/2025, 4:39:27 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.38.0.250901140452_125126
- QNN TfLite Delegate: v2.38.0.250901140452_125126
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.09.26.0
Estimated Inference Time
4.76 ms
Estimated Peak Memory Usage
0 ‑ 14 MB
Compute Units
NPU
136
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.18 s | 158‑159 MB |
Subsequent App Load | 1.20 s | 135‑137 MB |
Inference | 4.76 ms | 0‑14 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.performance_mode | kHtpBurst |
| htp_options.precision | kHtpFp16 |
| htp_options.useConvHmx | true |
Sign up to run this model on a hosted Qualcomm® device!
Run on device