Profile Job Results
Jobs
jgo8dv04p
Results Ready
Name
track_anything_segment
Target Device
- Dragonwing IQ-9075 EVK
- Qualcomm Linux 1.9
- Qualcomm® Dragonwing™ IQ-9075 | QCS9075
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
f16: float32[1, 1024, 20, 36]f8: float32[1, 512, 40, 72]f4: float32[1, 256, 80, 144]memory_readout: float32[1, 1, 512, 20, 36]hidden_state: float32[1, 1, 64, 20, 36]Completion Time
8/8/2026, 10:23:54 PM
Versions
- Lite RT: 1.4.5
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Qualcomm Linux: 1.9-ver.1.0
- AI Hub: aihub-2026.07.31.1
Estimated Inference Time
33.7 ms
Estimated Peak Memory Usage
0 ‑ 83 MB
Compute Units
NPU
120
| Stage | Time | Memory |
|---|---|---|
First App Load | 5.30 s | 301‑302 MB |
Subsequent App Load | 225 ms | 61‑62 MB |
Inference | 33.7 ms | 0‑83 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