Profile Job Results
Jobs
jg9yq3km5
Results Ready
Name
sesr_m5
Target Device
- SA8650 (Proxy)
- Android 13
- Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image
: uint8[1, 128, 128, 3]Completion Time
9/13/2025, 11:30:53 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.37.0.250724175447_124859
- QNN TfLite Delegate: v2.37.0.250724175447_124859
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.09.05.0
Estimated Inference Time
769 μs
Estimated Peak Memory Usage
0 ‑ 4 MB
Compute Units
NPU
29
Stage | Time | Memory |
---|---|---|
First App Load | 379 ms | 82‑83 MB |
Subsequent App Load | 354 ms | 82‑91 MB |
Inference | 769 μs | 0‑4 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