Profile Job Results
Jobs
j57dwlkr5
Results Ready
Name
depth_anything_v3
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
3/7/2026, 3:42:08 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 14 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2026.02.26.0
Estimated Inference Time
97.8 ms
Estimated Peak Memory Usage
1 ‑ 521 MB
Compute Units
NPU
1075
| Stage | Time | Memory |
|---|---|---|
First App Load | 36.1 s | 639‑645 MB |
Subsequent App Load | 320 ms | 33‑555 MB |
Inference | 97.8 ms | 1‑521 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.precision | kHtpFp16 |
| htp_options.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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