Profile Job Results
Jobs
j1p8jrdz5
Results Ready
Name
ffnet_78s_quantized
Target Device
- SA8255 (Proxy)
- Android 13
- Qualcomm® SA8255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image
: uint8[1, 1024, 2048, 3]Completion Time
8/11/2024, 7:58:25 AM
Versions
- TensorFlow Lite: 2.16.1
- QNN TfLite Delegate: v2.24.0.240626131148_96320
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2024.08.01.0
Estimated Inference Time
5.72 ms
Estimated Peak Memory Usage
1 - 17 MB
Compute Units
NPU
156
Stage | Time | Memory |
---|---|---|
First App Load | 1.21 s | 196-198 MB |
Subsequent App Load | 201 ms | 15-207 MB |
Inference | 5.72 ms | 1-17 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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