Profile Job Results
Jobs
jp3jd7dzg
Results Ready
Name
shufflenet_v2_quantized
Target Device
- Samsung Galaxy S24 (Family)
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint8[1, 3, 224, 224]Completion Time
1/8/2025, 9:26:16 AM
Versions
- ONNX Runtime: 1.20.1
- QNN: v2.28.2.241116104011_103376
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.01.04.0
Estimated Inference Time
10.1 ms
Estimated Peak Memory Usage
1 ‑ 249 MB
Compute Units
NPU
259
CPU
18
| Stage | Time | Memory |
|---|---|---|
First App Load | 55.8 s | 440‑447 MB |
Subsequent App Load | 1.31 min | 449‑827 MB |
Inference | 10.1 ms | 1‑249 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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