Profile Job Results
Jobs
jopr7y8kg
Results Ready
Name
yolov7_quantized
Target Device
- QCS6490 (Proxy)
- Android 12
- Qualcomm® QCS6490
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image
: uint8[1, 640, 640, 3]Completion Time
8/27/2024, 6:45:32 AM
Versions
- TensorFlow Lite: 2.16.1
- QNN TfLite Delegate: v2.25.0.240728104910_97711
- Android: 12 (SP1A.210812.016)
- AI Hub: aihub-2024.08.23.0
Estimated Inference Time
10.0 ms
Estimated Peak Memory Usage
0 - 69 MB
Compute Units
NPU
228
CPU
1
Stage | Time | Memory |
---|---|---|
First App Load | 17.2 s | 188-196 MB |
Subsequent App Load | 232 ms | 7-78 MB |
Inference | 10.0 ms | 0-69 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