Profile Job Results
Jobs
jp18n43ng
Results Ready
Name
depth_anything_v2
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
2/22/2026, 3:39:54 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-2026.02.14.0
Estimated Inference Time
100 ms
Estimated Peak Memory Usage
1 ‑ 471 MB
Compute Units
NPU
646
| Stage | Time | Memory |
|---|---|---|
First App Load | 20.9 s | 569‑575 MB |
Subsequent App Load | 279 ms | 51‑522 MB |
Inference | 100 ms | 1‑471 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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