Profile Job Results
Jobs
jgjvo0r1g
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
11/26/2024, 2:35:02 PM
Versions
- ONNX Runtime: 1.19.2
- QNN: v2.28.2.241116104011_103376
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2024.11.22.0
Estimated Inference Time
36.4 ms
Estimated Peak Memory Usage
10 ‑ 14 MB
Compute Units
NPU
151
CPU
26
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.31 min | 889‑890 MB |
Subsequent App Load | 454 ms | 1‑51 MB |
Inference | 36.4 ms | 10‑14 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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