Profile Job Results
Jobs
jg9ye4v85
Results Ready
Name
shufflenet_v2_float
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_tensor
: float32[1, 224, 224, 3]Completion Time
10/5/2025, 1:27:16 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
321 μs
Estimated Peak Memory Usage
0 ‑ 23 MB
Compute Units
NPU
159
Stage | Time | Memory |
---|---|---|
First App Load | 539 ms | 101‑108 MB |
Subsequent App Load | 493 ms | 124‑218 MB |
Inference | 321 μs | 0‑23 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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