Profile Job Results
Jobs
jprx3orvp
Results Ready
Name
efficientnet_v2_s
Target Device
- Arduino VENTUNO Q
- Ubuntu 24.04
- Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image_tensor: float32[1, 384, 384, 3]Completion Time
10/3/2026, 10:01:05 PM
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
8.19 ms
Estimated Peak Memory Usage
2 ‑ 6 MB
Compute Units
NPU
506
| Stage | Time | Memory |
|---|---|---|
First App Load | 4.71 s | 204‑205 MB |
Subsequent App Load | 255 ms | 2‑3 MB |
Inference | 8.19 ms | 2‑6 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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