Profile Job Results
Jobs
jpyx9e745
Results Ready
Name
gear_guard_net
Target Device
- Arduino VENTUNO Q
- Ubuntu 24.04
- Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: uint8[1, 320, 192, 3]Completion Time
9/5/2026, 6:20:58 PM
Versions
- QAIRT: v2.45.0.260326154327
- QNN Backend API: 5.45.0
- QNN Core API: 2.34.0
- Qualcomm Linux: 24.04
- AI Hub: aihub-2026.08.28.1
Estimated Inference Time
588 μs
Estimated Peak Memory Usage
0 ‑ 3 MB
Compute Units
NPU
218
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.55 s | 115‑116 MB |
Subsequent App Load | 168 ms | 2 MB |
Inference | 588 μs | 0‑3 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.optimizations[0].type | FINALIZE_OPTIMIZATION_FLAG |
| default_graph_options.htp_options.optimizations[0].value | 3.0 |
| default_graph_options.htp_options.precision | FLOAT16 |
| default_graph_options.htp_options.vtcm_size | 0 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device