Profile Job Results
Jobs
jpyxdzn75
Results Ready
Name
edgetam_encoder
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, 1024, 1024, 3]unnorm_coords: float32[1, 2, 2]labels: float32[1, 2]Completion Time
8/22/2026, 1:50:55 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-2026.08.14.0
Estimated Inference Time
27.1 ms
Estimated Peak Memory Usage
12 ‑ 46 MB
Compute Units
NPU
300
| Stage | Time | Memory |
|---|---|---|
First App Load | 16.8 s | 333‑334 MB |
Subsequent App Load | 287 ms | 5 MB |
Inference | 27.1 ms | 12‑46 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 |
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