Profile Job Results
Jobs
jpv260dmg
Results Ready
Name
track_anything_encode_value
Target Device
- Samsung Galaxy S22 5G
- Android 12
- Snapdragon® 8 Gen 1 | SM8450
Creator
ai-hub-support@qti.qualcomm.com
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
10/4/2026, 6:35:17 PM
Versions
- Lite RT: 1.4.2
- QAIRT: v2.50.0.260828221209
- QNN TfLite Delegate: v2.50.0.260828221209
- Android: 12 (SP1A.210812.016)
- AI Hub: aihub-2026.09.25.0
Estimated Inference Time
19.6 ms
Estimated Peak Memory Usage
3 ‑ 246 MB
Compute Units
NPU
110
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.13 s | 410‑419 MB |
Subsequent App Load | 245 ms | 40‑283 MB |
Inference | 19.6 ms | 3‑246 MB |
| Lite RT | 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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