Profile Job Results
Jobs
jgzxd6ez5
Results Ready
Name
depth_anything_v2
Target Device
- QCS8450 (Proxy)
- Android 13
- Qualcomm® QCS8450
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 518, 518, 3]Completion Time
3/15/2026, 6:17:47 AM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2026.03.09.0
Estimated Inference Time
106 ms
Estimated Peak Memory Usage
1 ‑ 583 MB
Compute Units
NPU
646
| Stage | Time | Memory |
|---|---|---|
First App Load | 12.0 s | 646‑654 MB |
Subsequent App Load | 263 ms | 51‑631 MB |
Inference | 106 ms | 1‑583 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device