Profile Job Results
Jobs
jg9m4nkl5
Results Ready
Name
act
Target Device
- Arduino VENTUNO Q
- Ubuntu 24.04
- Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
qpos: float32[1, 14]image: float32[1, 3, 480, 640]Completion Time
8/22/2026, 12:28:30 PM
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
14.2 ms
Estimated Peak Memory Usage
0 ‑ 71 MB
Compute Units
NPU
723
| Stage | Time | Memory |
|---|---|---|
First App Load | 18.3 s | 364‑365 MB |
Subsequent App Load | 247 ms | 67‑68 MB |
Inference | 14.2 ms | 0‑71 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