Profile Job Results
Jobs
jpr6027ep
Results Ready
Name
squeezenet1_1_quantized
Target Device
- Samsung Galaxy S23 (Family)
- Android 13
- Snapdragon® 8 Gen 2 | SM8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint8[1, 3, 224, 224]Completion Time
3/11/2025, 8:12:33 PM
Versions
- ONNX Runtime: 1.20.1
- QAIRT: v2.32.0.250228225014_116386
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.03.06.0
Estimated Inference Time
481 μs
Estimated Peak Memory Usage
0 ‑ 7 MB
Compute Units
NPU
47
| Stage | Time | Memory |
|---|---|---|
First App Load | 314 ms | 73‑74 MB |
Subsequent App Load | 303 ms | 98‑100 MB |
Inference | 481 μs | 0‑7 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" |
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