Profile Job Results
Jobs
jpev9n7v5
Results Ready
Name
edgetam_EdgeTAMDecoder
Target Device
- SA8775P ADP
- Android 14
- Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_embeddings: float32[1, 64, 64, 256]high_res_features1: float32[1, 256, 256, 32]high_res_features2: float32[1, 128, 128, 64]sparse_embedding: float32[1, 3, 256]Completion Time
3/7/2026, 9:33:01 AM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 14 (UAG2.240908.001)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
- AI Hub: aihub-2026.02.26.0
Estimated Inference Time
25.1 ms
Estimated Peak Memory Usage
0 ‑ 210 MB
Compute Units
NPU
806
| Stage | Time | Memory |
|---|---|---|
First App Load | 10.1 s | 185‑190 MB |
Subsequent App Load | 689 ms | 13‑225 MB |
Inference | 25.1 ms | 0‑210 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.precision | kHtpFp16 |
| htp_options.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
| htp_options.device_id | 1 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device