Profile Job Results
Jobs
jpymol60p
Results Ready
Name
efficientvit_l2_cls
Target Device
- Dragonwing IQ-9075 EVK
- Qualcomm Linux 1.9
- Qualcomm® Dragonwing™ IQ-9075 | QCS9075
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image_tensor: float32[1, 3, 384, 384]Completion Time
8/8/2026, 12:33:21 PM
Versions
- ONNX Runtime: 1.27.1
- QAIRT: v2.45.0.260326154327
- Qualcomm Linux: 1.9-ver.1.0
- AI Hub: aihub-2026.07.31.1
Estimated Inference Time
19.3 ms
Estimated Peak Memory Usage
1 ‑ 6 MB
Compute Units
NPU
324
| Stage | Time | Memory |
|---|---|---|
First App Load | 17.1 s | 788‑789 MB |
Subsequent App Load | 384 ms | 145‑146 MB |
Inference | 19.3 ms | 1‑6 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