Profile Job Results
Jobs
jp0mkd20g
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
labels: uint8[1, 2]image: uint8[1, 1024, 1024, 3]unnorm_coords: uint8[1, 2, 2]Completion Time
9/19/2026, 5:14:23 PM
Options
--qairt_version latestVersions
- QAIRT: v2.50.0.260828221209
- QNN Backend API: 5.50.0
- QNN Core API: 2.39.0
- Qualcomm Linux: 24.04
- AI Hub: aihub-2026.09.11.0
Estimated Inference Time
9.96 ms
Estimated Peak Memory Usage
3 ‑ 14 MB
Compute Units
NPU
300
| Stage | Time | Memory |
|---|---|---|
First App Load | 12.4 s | 225‑226 MB |
Subsequent App Load | 197 ms | 2‑3 MB |
Inference | 9.96 ms | 3‑14 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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