Profile Job Results
Jobs
j56o4mkn5
Results Ready
Name
ffnet_78s
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, 1024, 2048, 3]Completion Time
10/4/2026, 4:55:45 AM
Versions
- QAIRT: v2.50.0.260828221209
- QNN Backend API: 5.50.0
- QNN Core API: 2.39.0
- Qualcomm Linux: 24.04
- AI Hub: aihub-2026.09.25.0
Estimated Inference Time
16.6 ms
Estimated Peak Memory Usage
3 ‑ 12 MB
Compute Units
NPU
238
| Stage | Time | Memory |
|---|---|---|
First App Load | 8.12 s | 223‑224 MB |
Subsequent App Load | 211 ms | 2‑3 MB |
Inference | 16.6 ms | 3‑12 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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