Profile Job Results
Jobs
jpy4km7lp
Results Ready
Name
edgetam_encoder
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 3, 1024, 1024]unnorm_coords: float32[1, 2, 2]labels: float32[1, 2]Completion Time
4/19/2026, 6:52:50 AM
Options
--qairt_version 2.42Versions
- ONNX Runtime: 1.24.3
- QAIRT: v2.42.0.251225135753_193295
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2026.04.13.0
Estimated Inference Time
20.3 ms
Estimated Peak Memory Usage
28 ‑ 47 MB
Compute Units
NPU
305
| Stage | Time | Memory |
|---|---|---|
First App Load | 7.99 s | 253‑254 MB |
Subsequent App Load | 191 ms | 13‑20 MB |
Inference | 20.3 ms | 28‑47 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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