Profile Job Results
Jobs
jgl2wdmep
Results Ready
Name
squeezenet1_1
Target Device
- Samsung Galaxy S23
- Android 13
- Snapdragon® 8 Gen 2 | SM8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 3, 224, 224]Completion Time
9/6/2025, 3:59:11 PM
Options
--qairt_version 2.36Versions
- ONNX Runtime: 1.22.0
- QAIRT: v2.36.4.250725200057_123280
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.08.28.0
Estimated Inference Time
464 μs
Estimated Peak Memory Usage
0 ‑ 13 MB
Compute Units
NPU
71
| Stage | Time | Memory |
|---|---|---|
First App Load | 428 ms | 38‑39 MB |
Subsequent App Load | 422 ms | 38‑39 MB |
Inference | 464 μs | 0‑13 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 |
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