Profile Job Results
Jobs
jg94m79v5
Results Ready
Name
sequencer2d
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 3, 224, 224]Completion Time
2/22/2026, 2:16:26 PM
Options
--qairt_version 2.42Versions
- ONNX Runtime: 1.24.1
- QAIRT: v2.42.0.251225135753_193295
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.02.14.0
Estimated Inference Time
11.3 ms
Estimated Peak Memory Usage
0 ‑ 2 GB
Compute Units
NPU
5076
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.19 min | 3 GB |
Subsequent App Load | 284 ms | 0‑3 GB |
Inference | 11.3 ms | 0‑2 GB |
| 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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