Profile Job Results
Jobs
jg9wy1mmp
Results Ready
Name
depth_anything_v2_float
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 518, 518, 3]Completion Time
10/25/2025, 11:05:27 PM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.39.0.250925215840_163802-auto
- QNN TfLite Delegate: v2.39.0.250925215840_163802-auto
- Android: 14 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
133 ms
Estimated Peak Memory Usage
1 ‑ 164 MB
Compute Units
NPU
646
| Stage | Time | Memory |
|---|---|---|
First App Load | 15.9 s | 548‑554 MB |
Subsequent App Load | 16.4 s | 594‑941 MB |
Inference | 133 ms | 1‑164 MB |
| 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






