Profile Job Results
Jobs
jpx4vmj9g
Results Ready
Name
statetransformer
Target Device
- Arduino VENTUNO Q
- Ubuntu 24.04
- Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
high_res_raster: float32[1, 224, 224, 58]low_res_raster: float32[1, 224, 224, 58]context_actions: float32[1, 4, 7]Completion Time
9/6/2026, 5:29:31 AM
Versions
- ONNX Runtime: 1.27.1
- QAIRT: v2.45.0.260326154327
- Qualcomm Linux: 24.04
- AI Hub: aihub-2026.08.28.1
Estimated Inference Time
349 ms
Estimated Peak Memory Usage
100 ‑ 142 MB
Compute Units
NPU
1434
CPU
8
| Stage | Time | Memory |
|---|---|---|
First App Load | 9.57 min | 2 GB |
Subsequent App Load | 1.28 s | 248‑249 MB |
Inference | 349 ms | 100‑142 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