Profile Job Results
Jobs
jgjq37ox5
Results Ready
Name
sequencer2d
Target Device
- Arduino VENTUNO Q
- Ubuntu 24.04
- Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image_tensor: uint8[1, 224, 224, 3]Completion Time
8/9/2026, 2:52:36 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-2026.07.31.1
Estimated Inference Time
18.1 ms
Estimated Peak Memory Usage
0 ‑ 64 MB
Compute Units
NPU
21952
| Stage | Time | Memory |
|---|---|---|
First App Load | 6.46 min | 962‑963 MB |
Subsequent App Load | 505 ms | 64‑79 MB |
Inference | 18.1 ms | 0‑64 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







