Profile Job Results
Jobs
j56yxm0vp
Results Ready
Name
squeezenet1_1_quantized
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint8[1, 224, 224, 3]Completion Time
1/8/2025, 9:21:42 AM
Versions
- TensorFlow Lite: 2.17.0
- QNN TfLite Delegate: v2.28.0.241029232508_102474-auto
- Android: 14 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2025.01.04.0
Estimated Inference Time
508 μs
Estimated Peak Memory Usage
0 ‑ 16 MB
Compute Units
NPU
43
| Stage | Time | Memory |
|---|---|---|
First App Load | 420 ms | 17‑23 MB |
Subsequent App Load | 413 ms | 23‑47 MB |
Inference | 508 μs | 0‑16 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.precision | kHtpFp16 |
| htp_options.useConvHmx | true |
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