Profile Job Results
Jobs
j56113e7p
Results Ready
Name
resnet_2plus1d_float
Target Device
- Samsung Galaxy S25
- Android 15
- Snapdragon® 8 Elite for Galaxy | SM8750-AC
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
video: float32[1, 16, 112, 112, 3]Completion Time
1/31/2026, 10:09:03 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.42.0.251225135753_193295
- QNN TfLite Delegate: v2.42.0.251225135753_193295
- Android: 15 (AP3A.240905.015.A2)
- AI Hub: aihub-2026.01.22.0
Estimated Inference Time
270 ms
Estimated Peak Memory Usage
0 ‑ 241 MB
Compute Units
NPU
94
| Stage | Time | Memory |
|---|---|---|
First App Load | 6.53 s | 692‑702 MB |
Subsequent App Load | 144 ms | 137‑380 MB |
Inference | 270 ms | 0‑241 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.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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