HUAWEI ADY-LX9
Geekbench AI Score
223
Single Precision Score
210
Half Precision Score
479
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 05 2026 07:58 PM |
| Views | 3 |
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% |
233
43.3 IPS |
|
|
Image Classification (HP)
|
100% |
237
44.1 IPS |
|
|
Image Classification (Q)
|
99% |
500
93.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
300
4.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
154
2.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
319
5.19 IPS |
|
|
Pose Estimation (SP)
|
100% |
199
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
200
0.23 IPS |
|
|
Pose Estimation (Q)
|
98% |
736
0.86 IPS |
|
|
Object Detection (SP)
|
100% |
112
8.87 IPS |
|
|
Object Detection (HP)
|
100% |
113
8.95 IPS |
|
|
Object Detection (Q)
|
87% |
328
26.3 IPS |
|
|
Face Detection (SP)
|
100% |
311
3.69 IPS |
|
|
Face Detection (HP)
|
100% |
319
3.79 IPS |
|
|
Face Detection (Q)
|
97% |
696
8.30 IPS |
|
|
Depth Estimation (SP)
|
100% |
254
1.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
256
1.97 IPS |
|
|
Depth Estimation (Q)
|
64% |
622
5.64 IPS |
|
|
Style Transfer (SP)
|
100% |
461
0.59 IPS |
|
|
Style Transfer (HP)
|
100% |
460
0.59 IPS |
|
|
Style Transfer (Q)
|
98% |
1227
1.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
120
4.44 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
121
4.45 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
435
16.1 IPS |
|
|
Text Classification (SP)
|
100% |
162
216.3 IPS |
|
|
Text Classification (HP)
|
100% |
162
216.7 IPS |
|
|
Text Classification (Q)
|
91% |
290
390.4 IPS |
|
|
Machine Translation (SP)
|
100% |
283
4.87 IPS |
|
|
Machine Translation (HP)
|
100% |
281
4.84 IPS |
|
|
Machine Translation (Q)
|
57% |
247
6.03 IPS |
