HUAWEI ADY-LX9
Geekbench AI Score
281
Single Precision Score
284
Half Precision Score
593
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 14 2025 01:43 AM |
| Views | 7 |
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% |
171
31.7 IPS |
|
|
Image Classification (HP)
|
100% |
177
33.0 IPS |
|
|
Image Classification (Q)
|
99% |
414
77.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
222
3.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
226
3.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
405
6.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
305
0.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
303
0.35 IPS |
|
|
Pose Estimation (Q)
|
98% |
1077
1.26 IPS |
|
|
Object Detection (SP)
|
100% |
163
12.9 IPS |
|
|
Object Detection (HP)
|
100% |
166
13.2 IPS |
|
|
Object Detection (Q)
|
87% |
433
34.7 IPS |
|
|
Face Detection (SP)
|
100% |
402
4.77 IPS |
|
|
Face Detection (HP)
|
100% |
416
4.94 IPS |
|
|
Face Detection (Q)
|
97% |
891
10.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
361
2.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
365
2.81 IPS |
|
|
Depth Estimation (Q)
|
64% |
798
7.24 IPS |
|
|
Style Transfer (SP)
|
100% |
602
0.77 IPS |
|
|
Style Transfer (HP)
|
100% |
600
0.77 IPS |
|
|
Style Transfer (Q)
|
98% |
1566
2.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
183
6.76 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
184
6.78 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
672
24.9 IPS |
|
|
Text Classification (SP)
|
100% |
254
338.4 IPS |
|
|
Text Classification (HP)
|
100% |
255
340.2 IPS |
|
|
Text Classification (Q)
|
91% |
365
491.1 IPS |
|
|
Machine Translation (SP)
|
100% |
403
6.94 IPS |
|
|
Machine Translation (HP)
|
100% |
399
6.87 IPS |
|
|
Machine Translation (Q)
|
57% |
253
6.18 IPS |
