Profile Job Results
Jobs
joprxdmvp
Results Ready
Name
ffnet_78s_quantized
Target Device
- QCS8550 (Proxy)
- Android 12
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: 14 (UP1A.231005.007)
- AI Hub: aihub-2024.08.01.0
Estimated Inference Time
5.85 ms
Estimated Peak Memory Usage
0 - 265 MB
Compute Units
NPU
156
Stage | Time | Memory |
---|---|---|
First App Load | 1.32 s | 190-191 MB |
Subsequent App Load | 252 ms | 28-273 MB |
Inference | 5.85 ms | 0-265 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device