Profile Job Results
Jobs
j5qwje2e5
Results Ready
Name
edgetam_memory_encoder
Target Device
- Samsung Galaxy S22 5G
- Android 12
- Snapdragon® 8 Gen 1 | SM8450
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
6/14/2026, 2:32:01 AM
Versions
- ONNX Runtime: 1.25.0
- QAIRT: v2.45.0.260326154327
- Android: 12 (SP1A.210812.016)
- AI Hub: aihub-2026.06.08.2
Estimated Inference Time
40.0 ms
Estimated Peak Memory Usage
8 ‑ 324 MB
Compute Units
NPU
281
| Stage | Time | Memory |
|---|---|---|
First App Load | 13.9 s | 274‑284 MB |
Subsequent App Load | 414 ms | 12‑338 MB |
Inference | 40.0 ms | 8‑324 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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