Profile Job Results
Jobs
jgdn3r1r5
Results Ready
Name
resnet_2plus1d_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
video: uint8[1, 16, 112, 112, 3]Completion Time
3/11/2025, 10:01:28 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.32.0.250228225014_116386
- QNN TfLite Delegate: v2.32.0.250228225014_116386
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.03.06.0
Estimated Inference Time
555 ms
Estimated Peak Memory Usage
0 ‑ 24 MB
Compute Units
NPU
169
CPU
1
| Stage | Time | Memory |
|---|---|---|
First App Load | 5.57 s | 816‑817 MB |
Subsequent App Load | 5.71 s | 817‑819 MB |
Inference | 555 ms | 0‑24 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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