HUAWEI ADY-LX9
Geekbench AI Score
386
Single Precision Score
393
Half Precision Score
840
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 07 2025 03:23 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI ADY-LX9 |
| Model ID | HUAWEI ADY-LX9 |
| Motherboard | ADY |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 72 architecture 8 variant 2 part 3330 revision 2 |
| Base Frequency | 1.53 GHz |
| Cluster 1 | 4 Cores @ 1.53 GHz |
| Cluster 2 | 3 Cores @ 2.15 GHz |
| Cluster 3 | 1 Core @ 2.49 GHz |
| Memory Information | |
|---|---|
| Size | 11.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
226
42.1 IPS |
|
|
Image Classification (HP)
|
100% |
237
44.1 IPS |
|
|
Image Classification (Q)
|
99% |
581
108.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
300
4.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
310
5.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
570
9.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
419
0.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
421
0.49 IPS |
|
|
Pose Estimation (Q)
|
98% |
1615
1.89 IPS |
|
|
Object Detection (SP)
|
100% |
229
18.2 IPS |
|
|
Object Detection (HP)
|
100% |
235
18.6 IPS |
|
|
Object Detection (Q)
|
87% |
653
52.3 IPS |
|
|
Face Detection (SP)
|
100% |
547
6.50 IPS |
|
|
Face Detection (HP)
|
100% |
563
6.69 IPS |
|
|
Face Detection (Q)
|
97% |
1215
14.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
485
3.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
499
3.85 IPS |
|
|
Depth Estimation (Q)
|
64% |
1157
10.5 IPS |
|
|
Style Transfer (SP)
|
100% |
864
1.11 IPS |
|
|
Style Transfer (HP)
|
100% |
865
1.11 IPS |
|
|
Style Transfer (Q)
|
98% |
2124
2.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
252
9.29 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
251
9.27 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
926
34.3 IPS |
|
|
Text Classification (SP)
|
100% |
354
472.3 IPS |
|
|
Text Classification (HP)
|
100% |
356
474.9 IPS |
|
|
Text Classification (Q)
|
91% |
492
661.8 IPS |
|
|
Machine Translation (SP)
|
100% |
559
9.63 IPS |
|
|
Machine Translation (HP)
|
100% |
567
9.76 IPS |
|
|
Machine Translation (Q)
|
57% |
370
9.05 IPS |
