Profile Job Results
Jobs
j576q01lg
Results Ready
Name
edgetam_memory_encoder
Target Device
- Dragonwing RB3 Gen 2 Vision Kit
- Qualcomm Linux 1.6
- Qualcomm® Dragonwing™ RB3 Gen 2 | QCS6490
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
pix_feat: uint8[1, 256, 64, 64]mask_for_mem: uint8[1, 1, 1024, 1024]Completion Time
6/14/2026, 3:03:02 AM
Options
--onnx_execution_providers qnnVersions
- ONNX Runtime: 1.25.0
- QAIRT: v2.45.0.260326154327
- Qualcomm Linux: 1.6-ver.1.2
- AI Hub: aihub-2026.06.08.2
Estimated Inference Time
19.7 ms
Estimated Peak Memory Usage
0 ‑ 47 MB
Compute Units
NPU
249
| Stage | Time | Memory |
|---|---|---|
First App Load | 30.1 s | 251‑252 MB |
Subsequent App Load | 489 ms | 96‑97 MB |
Inference | 19.7 ms | 0‑47 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 | "2" |
| enable_htp_fp16_precision | "0" |
| capture_network_visualizations | false |
| context_priority | "normal" |
| offload_graph_io_quantization | "1" |
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