Profile Job Results
Jobs
j56yrqwnp
Results Ready
Name
fcn_resnet50_quantized
Target Device
- Samsung Galaxy S23 (Family)
- Android 13
- Snapdragon® 8 Gen 2 | SM8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image
: uint8[1, 520, 520, 3]Completion Time
11/26/2024, 4:36:31 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
15.1 ms
Estimated Peak Memory Usage
0 ‑ 18 MB
Compute Units
NPU
90
Stage | Time | Memory |
---|---|---|
First App Load | 1.33 s | 259‑260 MB |
Subsequent App Load | 1.41 s | 119‑455 MB |
Inference | 15.1 ms | 0‑18 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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