Profile Job Results
Jobs
jg90m3nlg
Results Ready
Name
resnet_3d_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
video: uint8[1, 3, 16, 112, 112]Completion Time
3/11/2025, 9:59:26 PM
Versions
- ONNX Runtime: 1.20.1
- QAIRT: v2.32.0.250228225014_116386
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.03.06.0
Estimated Inference Time
5.76 ms
Estimated Peak Memory Usage
1 ‑ 86 MB
Compute Units
NPU
69
| Stage | Time | Memory |
|---|---|---|
First App Load | 9.38 s | 448‑456 MB |
Subsequent App Load | 10.3 s | 422‑558 MB |
Inference | 5.76 ms | 1‑86 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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