HUAWEI ADY-LX9
Geekbench AI Score
365
Single Precision Score
370
Half Precision Score
827
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 07 2025 02:52 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% |
224
41.7 IPS |
|
|
Image Classification (HP)
|
100% |
232
43.1 IPS |
|
|
Image Classification (Q)
|
99% |
579
108.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
286
4.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
294
4.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
568
9.24 IPS |
|
|
Pose Estimation (SP)
|
100% |
393
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
391
0.46 IPS |
|
|
Pose Estimation (Q)
|
98% |
1527
1.79 IPS |
|
|
Object Detection (SP)
|
100% |
214
17.0 IPS |
|
|
Object Detection (HP)
|
100% |
220
17.5 IPS |
|
|
Object Detection (Q)
|
87% |
652
52.3 IPS |
|
|
Face Detection (SP)
|
100% |
509
6.05 IPS |
|
|
Face Detection (HP)
|
100% |
527
6.26 IPS |
|
|
Face Detection (Q)
|
97% |
1200
14.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
451
3.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
461
3.55 IPS |
|
|
Depth Estimation (Q)
|
64% |
1134
10.3 IPS |
|
|
Style Transfer (SP)
|
100% |
794
1.02 IPS |
|
|
Style Transfer (HP)
|
100% |
802
1.03 IPS |
|
|
Style Transfer (Q)
|
98% |
2076
2.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
230
8.48 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
234
8.66 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
898
33.3 IPS |
|
|
Text Classification (SP)
|
100% |
348
464.1 IPS |
|
|
Text Classification (HP)
|
100% |
348
464.5 IPS |
|
|
Text Classification (Q)
|
91% |
493
662.2 IPS |
|
|
Machine Translation (SP)
|
100% |
536
9.23 IPS |
|
|
Machine Translation (HP)
|
100% |
524
9.02 IPS |
|
|
Machine Translation (Q)
|
57% |
368
9.00 IPS |
