Profile Job Results
Jobs
jg9dzz0m5
Results Ready
Name
grootn15_dit
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
state: float32[1, 1, 64]actions: float32[1, 16, 32]vlm_proj_keys_0: float32[1, 32, 384, 48]cross_attention_mask: float32[1, 32, 49, 384]vlm_proj_values_0: float32[1, 32, 384, 48]vlm_proj_keys_1: float32[1, 32, 384, 48]vlm_proj_values_1: float32[1, 32, 384, 48]vlm_proj_keys_2: float32[1, 32, 384, 48]vlm_proj_values_2: float32[1, 32, 384, 48]vlm_proj_keys_3: float32[1, 32, 384, 48]vlm_proj_values_3: float32[1, 32, 384, 48]vlm_proj_keys_4: float32[1, 32, 384, 48]vlm_proj_values_4: float32[1, 32, 384, 48]vlm_proj_keys_5: float32[1, 32, 384, 48]vlm_proj_values_5: float32[1, 32, 384, 48]vlm_proj_keys_6: float32[1, 32, 384, 48]vlm_proj_values_6: float32[1, 32, 384, 48]vlm_proj_keys_7: float32[1, 32, 384, 48]vlm_proj_values_7: float32[1, 32, 384, 48]Completion Time
8/8/2026, 8:22:15 AM
Versions
- QAIRT: v2.45.0.260326154327
- QNN Backend API: 5.45.0
- QNN Core API: 2.34.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.07.31.1
Estimated Inference Time
72.5 ms
Estimated Peak Memory Usage
14 ‑ 21 MB
Compute Units
NPU
1864
| Stage | Time | Memory |
|---|---|---|
First App Load | 457 ms | 1‑8 MB |
Subsequent App Load | 450 ms | 13‑20 MB |
Inference | 72.5 ms | 14‑21 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.optimizations[0].type | FINALIZE_OPTIMIZATION_FLAG |
| default_graph_options.htp_options.optimizations[0].value | 3.0 |
| default_graph_options.htp_options.precision | FLOAT16 |
| default_graph_options.htp_options.vtcm_size | 0 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device