Profile Job Results
Jobs
jprykzl7g
Results Ready
Name
video_mae
Target Device
- Snapdragon 8 Elite Gen 5 QRD
- Android 16
- Snapdragon® 8 Elite Gen 5 | SM8850
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
video: float32[1, 16, 224, 224, 3]Completion Time
3/8/2026, 7:58:21 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 16 (BQ2A.251217.002-BP2A.250705.008)
- Build ID: Kaanapali.LA.1.0.r1-01100-STD.PROD-1
- AI Hub: aihub-2026.02.26.0
Estimated Inference Time
63.8 ms
Estimated Peak Memory Usage
0 ‑ 941 MB
Compute Units
NPU
558
| Stage | Time | Memory |
|---|---|---|
First App Load | 36.1 s | 1 GB |
Subsequent App Load | 195 ms | 0‑1 GB |
Inference | 63.8 ms | 0‑941 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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