Profile Job Results
Jobs
jgkl9x3n5
Results Ready
Name
depth_anything_v3
Target Device
- SA8775P ADP
- Android 14
- Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 518, 518, 3]Completion Time
4/5/2026, 9:27:27 PM
Versions
- LiteRT: 1.4.2
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 14 (UAG2.240908.001)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
- AI Hub: aihub-2026.03.29.0
Estimated Inference Time
73.6 ms
Estimated Peak Memory Usage
1 ‑ 531 MB
Compute Units
NPU
1075
| Stage | Time | Memory |
|---|---|---|
First App Load | 52.1 s | 656‑662 MB |
Subsequent App Load | 563 ms | 84‑615 MB |
Inference | 73.6 ms | 1‑531 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 |
| htp_options.device_id | 1 |
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