Profile Job Results
Jobs
jp4lmxql5
Results Ready
Name
resnet50_quantized
Target Device
- Samsung Galaxy S23 (Family)
- Android 13
- Snapdragon® 8 Gen 2 | SM8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor
: uint8[1, 224, 224, 3]Completion Time
11/26/2024, 4:07:29 PM
Versions
- QNN: v2.28.2.241116104011_103376
- QNN Backend API: 5.28.0
- QNN Core API: 2.21.0
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2024.11.22.0
Estimated Inference Time
1.01 ms
Estimated Peak Memory Usage
0 ‑ 32 MB
Compute Units
NPU
127
Stage | Time | Memory |
---|---|---|
First App Load | 451 ms | 207‑208 MB |
Subsequent App Load | 384 ms | 145‑196 MB |
Inference | 1.01 ms | 0‑32 MB |
QNN | Value |
---|---|
context_options.htp_options.performance_mode | BURST |
default_graph_options.htp_options.precision | FLOAT16 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device