Profile Job Results
Jobs
j5w9v3xjp
Results Ready
Name
depth_anything_v3
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 518, 518, 3]Completion Time
3/8/2026, 2:49:45 AM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.02.26.0
Estimated Inference Time
48.6 ms
Estimated Peak Memory Usage
1 ‑ 693 MB
Compute Units
NPU
1075
| Stage | Time | Memory |
|---|---|---|
First App Load | 21.5 s | 695‑702 MB |
Subsequent App Load | 226 ms | 303‑996 MB |
Inference | 48.6 ms | 1‑693 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.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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