Profile Job Results
Jobs
jgovvkw15
Results Ready
Name
track_anything_float_TrackAnythingEncodeValue
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 320, 576, 3]mask: float32[1, 320, 576]f16: float32[1, 1024, 20, 36]hidden_state: float32[1, 1, 64, 20, 36]Completion Time
1/31/2026, 7:37:31 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.42.0.251225135753_193295
- QNN TfLite Delegate: v2.42.0.251225135753_193295
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.01.22.0
Estimated Inference Time
8.28 ms
Estimated Peak Memory Usage
2 ‑ 290 MB
Compute Units
NPU
109
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.18 s | 552‑559 MB |
Subsequent App Load | 178 ms | 37‑324 MB |
Inference | 8.28 ms | 2‑290 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 |
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