Profile Job Results
Jobs
jgj24qde5
Results Ready
Name
efficientnet_b4_w8a16
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
: uint16[1, 224, 224, 3]Completion Time
10/5/2025, 6:14:08 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-2025.09.26.0
Estimated Inference Time
2.29 ms
Estimated Peak Memory Usage
0 ‑ 80 MB
Compute Units
NPU
482
Stage | Time | Memory |
---|---|---|
First App Load | 2.06 s | 354‑362 MB |
Subsequent App Load | 2.12 s | 380‑596 MB |
Inference | 2.29 ms | 0‑80 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