Profile Job Results
Jobs
jgkdqje2p
Results Ready
Name
edgetam_memory_encoder
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
pix_feat: float32[1, 256, 64, 64]mask_for_mem: float32[1, 1, 1024, 1024]Completion Time
5/31/2026, 6:20:47 PM
Options
--qairt_version 2.42Versions
- ONNX Runtime: 1.25.0
- QAIRT: v2.42.0.251225135753_193295
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.05.27.0
Estimated Inference Time
20.7 ms
Estimated Peak Memory Usage
8 ‑ 820 MB
Compute Units
NPU
304
| Stage | Time | Memory |
|---|---|---|
First App Load | 45.0 s | 615‑621 MB |
Subsequent App Load | 471 ms | 154‑968 MB |
Inference | 20.7 ms | 8‑820 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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