Profile Job Results
Jobs
jp2l9emxg
Results Ready
Name
track_anything_float_TrackAnythingEncodeKeyWithShrinkage
Target Device
- SA8255 (Proxy)
- Android 13
- Qualcomm® SA8255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 320, 576, 3]Completion Time
10/25/2025, 3:12:01 PM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.39.0.250925215840_163802
- QNN TfLite Delegate: v2.39.0.250925215840_163802
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
6.91 ms
Estimated Peak Memory Usage
3 ‑ 18 MB
Compute Units
NPU
73
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.10 s | 181‑182 MB |
Subsequent App Load | 3.07 s | 208‑210 MB |
Inference | 6.91 ms | 3‑18 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.useConvHmx | true |
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