Profile Job Results
Jobs
jpyxe3605
Results Ready
Name
edgetam_memory_encoder
Target Device
- Samsung Galaxy S25
- Android 15
- Snapdragon® 8 Elite for Galaxy | SM8750-AC
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
9/5/2026, 8:52:03 PM
Versions
- ONNX Runtime: 1.27.1
- QAIRT: v2.45.0.260326154327
- Android: 15 (AP3A.240905.015.A2)
- AI Hub: aihub-2026.08.28.1
Estimated Inference Time
4.04 ms
Estimated Peak Memory Usage
2 ‑ 300 MB
Compute Units
NPU
250
| Stage | Time | Memory |
|---|---|---|
First App Load | 9.32 s | 306‑315 MB |
Subsequent App Load | 197 ms | 0‑300 MB |
Inference | 4.04 ms | 2‑300 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" |
Sign up to run this model on a hosted Qualcomm® device!
Run on device