Profile Job Results
Jobs
jp3mkrwng
Results Ready
Name
track_anything_TrackAnythingEncodeKeyWithoutShrinkage
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 320, 576, 3]Completion Time
3/8/2026, 6:30:52 AM
Versions
- TensorFlow Lite: 2.17.0
- 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-2026.02.26.0
Estimated Inference Time
33.1 ms
Estimated Peak Memory Usage
20 ‑ 204 MB
Compute Units
NPU
71
| Stage | Time | Memory |
|---|---|---|
First App Load | 9.19 s | 190‑196 MB |
Subsequent App Load | 524 ms | 20‑205 MB |
Inference | 33.1 ms | 20‑204 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device