Profile Job Results
Jobs
jp2mm0d65
Results Ready
Name
track_anything_float_TrackAnythingEncodeKeyWithShrinkage
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 320, 576, 3]Completion Time
1/31/2026, 7:40:26 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.42.0.251225135753_193295
- QNN TfLite Delegate: v2.42.0.251225135753_193295
- Android: 14 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2026.01.22.0
Estimated Inference Time
10.2 ms
Estimated Peak Memory Usage
3 ‑ 164 MB
Compute Units
NPU
73
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.00 s | 210‑215 MB |
Subsequent App Load | 178 ms | 20‑183 MB |
Inference | 10.2 ms | 3‑164 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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