Profile Job Results
Jobs
j56nzom0g
Results Ready
Name
resnet_2plus1d_float
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
video: float32[1, 3, 16, 112, 112]Completion Time
10/25/2025, 7:23:11 PM
Options
--qairt_version 2.37Versions
- ONNX Runtime: 1.23.0
- QAIRT: v2.37.1.250807093845_124904
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
8.72 ms
Estimated Peak Memory Usage
2 ‑ 90 MB
Compute Units
NPU
88
| Stage | Time | Memory |
|---|---|---|
First App Load | 8.18 s | 893‑901 MB |
Subsequent App Load | 8.35 s | 1 GB |
Inference | 8.72 ms | 2‑90 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 |
| context_priority | "normal" |
| offload_graph_io_quantization | "1" |
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