Profile Job Results
Jobs
j5w79yx4g
Results Ready
Name
ffnet_78s_lowres
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, 3, 512, 1024]Completion Time
8/22/2026, 10:52:58 PM
Versions
- ONNX Runtime: 1.27.1
- QAIRT: v2.45.0.260326154327
- Qualcomm Linux: 24.04
- AI Hub: aihub-2026.08.14.0
Estimated Inference Time
39.7 ms
Estimated Peak Memory Usage
6 ‑ 15 MB
Compute Units
NPU
238
| Stage | Time | Memory |
|---|---|---|
First App Load | 6.94 s | 417‑418 MB |
Subsequent App Load | 466 ms | 62‑63 MB |
Inference | 39.7 ms | 6‑15 MB |
| ONNX Runtime | Value |
|---|---|
| execution_mode | SEQUENTIAL |
| intra_op_num_threads | 0 |
| inter_op_num_threads | 0 |
| enable_memory_pattern | false |
| enable_cpu_memory_arena | false |
| graph_optimization_level | ENABLE_ALL |
| QNN Execution Provider | Value |
|---|---|
| htp_performance_mode | "burst" |
| htp_graph_finalization_optimization_mode | "3" |
| enable_htp_fp16_precision | "1" |
| capture_network_visualizations | false |
| context_priority | "normal" |
| offload_graph_io_quantization | "1" |
Sign up to run this model on a hosted Qualcomm® device!
Run on device