Profile Job Results
Jobs
jgd3vykkp
Results Ready
Name
track_anything_encode_key_with_shrinkage
Target Device
- Arduino VENTUNO Q
- Ubuntu 24.04
- Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 320, 576, 3]Completion Time
8/23/2026, 12:49:50 AM
Versions
- Lite RT: 1.4.5
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Qualcomm Linux: 24.04
- AI Hub: aihub-2026.08.14.0
Estimated Inference Time
9.53 ms
Estimated Peak Memory Usage
3 ‑ 31 MB
Compute Units
NPU
73
| Stage | Time | Memory |
|---|---|---|
First App Load | 4.37 s | 224‑225 MB |
Subsequent App Load | 251 ms | 22 MB |
Inference | 9.53 ms | 3‑31 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device