Profile Job Results
Jobs
jp147q6np
Results Ready
Name
fcn_resnet50_quantized
Target Device
- SA8650 (Proxy)
- Android 13
- Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image
: uint8[1, 520, 520, 3]Completion Time
11/26/2024, 4:38:19 PM
Versions
- TensorFlow Lite: 2.17.0
- QNN TfLite Delegate: v2.28.2.241116104011_103376
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2024.11.22.0
Estimated Inference Time
15.2 ms
Estimated Peak Memory Usage
0 ‑ 24 MB
Compute Units
NPU
90
Stage | Time | Memory |
---|---|---|
First App Load | 1.32 s | 259‑260 MB |
Subsequent App Load | 1.36 s | 98‑338 MB |
Inference | 15.2 ms | 0‑24 MB |
TensorFlow Lite | Value |
---|---|
number_of_threads | 4 |
QNN Delegate | Value |
---|---|
backend_type | kHtpBackend |
log_level | kLogLevelWarn |
htp_options.performance_mode | kHtpBurst |
htp_options.precision | kHtpFp16 |
htp_options.useConvHmx | true |
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