Profile Job Results
Jobs
jpy4qom7p
Results Ready
Name
edgetam_decoder
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
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
4/5/2026, 11:53:23 AM
Versions
- LiteRT: 1.4.2
- 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-2026.03.29.0
Estimated Inference Time
4.93 ms
Estimated Peak Memory Usage
0 ‑ 234 MB
Compute Units
NPU
775
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.58 s | 246‑253 MB |
Subsequent App Load | 95.0 ms | 10‑246 MB |
Inference | 4.93 ms | 0‑234 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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