Profile Job Results
Jobs
j5we8d845
Results Ready
Name
wideresnet50_quantized
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor
: uint8[1, 224, 224, 3]Completion Time
11/26/2024, 4:00:38 PM
Versions
- TensorFlow Lite: 2.17.0
- QNN TfLite Delegate: v2.28.0.241029232508_102474-auto
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00011-STD.PROD-1.89321.2
- AI Hub: aihub-2024.11.22.0
Estimated Inference Time
22.3 ms
Estimated Peak Memory Usage
0 ‑ 17 MB
Compute Units
NPU
82
Stage | Time | Memory |
---|---|---|
First App Load | 5.30 s | 380‑386 MB |
Subsequent App Load | 6.51 s | 460‑485 MB |
Inference | 22.3 ms | 0‑17 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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