Profile Job Results
Jobs
jp36zldlp
Results Ready
Name
edgetam_video_decoder
Target Device
- Samsung Galaxy S22 5G
- Android 12
- Snapdragon® 8 Gen 1 | SM8450
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image_embeddings: uint8[1, 64, 64, 256]high_res_features1: uint8[1, 256, 256, 32]high_res_features2: uint8[1, 128, 128, 64]sparse_embedding: uint8[1, 3, 256]Completion Time
8/8/2026, 10:33:21 AM
Versions
- Lite RT: 1.4.5
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Android: 12 (SP1A.210812.016)
- AI Hub: aihub-2026.07.31.1
Estimated Inference Time
9.90 ms
Estimated Peak Memory Usage
0 ‑ 241 MB
Compute Units
NPU
818
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.33 s | 236‑244 MB |
Subsequent App Load | 198 ms | 2‑245 MB |
Inference | 9.90 ms | 0‑241 MB |
| Lite RT | 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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