Profile Job Results
Jobs
jpr2kd475
Results Ready
Name
sequencer2d
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor
: float32[1, 224, 224, 3]Completion Time
9/27/2025, 6:39:42 PM
Versions
- QAIRT: v2.38.0.250901140452_125126
- QNN Backend API: 5.38.0
- QNN Core API: 2.28.1
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.09.23.1
Estimated Inference Time
15.7 ms
Estimated Peak Memory Usage
0 ‑ 2 GB
Compute Units
NPU
5223
Stage | Time | Memory |
---|---|---|
First App Load | 2.85 min | 2 GB |
Subsequent App Load | 3.68 min | 1‑3 GB |
Inference | 15.7 ms | 0‑2 GB |
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