Profile Job Results
Jobs
jp4d09k1p
Results Ready
Name
ffnet_40s_w8a8
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: uint8[1, 1024, 2048, 3]Completion Time
10/5/2025, 3:20:30 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.38.0.250901140452_125126
- QNN TfLite Delegate: v2.38.0.250901140452_125126
- Android: 16 (BQ2A.250705.001-BP2A.250605.031.A3)
- Build ID: Kaanapali.LA.1.0.r1-00850-STD.PROD-1
- AI Hub: aihub-2025.09.26.0
Estimated Inference Time
4.73 ms
Estimated Peak Memory Usage
1 ‑ 45 MB
Compute Units
NPU
96
| Stage | Time | Memory |
|---|---|---|
First App Load | 942 ms | 310‑317 MB |
Subsequent App Load | 1.09 s | 222‑340 MB |
Inference | 4.73 ms | 1‑45 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.useConvHmx | true |
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