HUAWEI ADY-AL10
Geekbench ML Score
230
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | October 26 2025 08:14 AM |
| Views | 12 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI ADY-AL10 |
| Model ID | HUAWEI ADY-AL10 |
| Motherboard | ADY |
| CPU Information | |
|---|---|
| Name | vendor |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 72 architecture 8 variant 2 part 3331 revision 0 |
| Base Frequency | 1.55 GHz |
| Cluster 1 | 4 Cores @ 1.55 GHz |
| Cluster 2 | 3 Cores @ 2.18 GHz |
| Cluster 3 | 1 Core @ 2.19 GHz |
| Memory Information | |
|---|---|
| Size | 11.31 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
146
27.3 IPS |
|
|
Image Classification (F16)
|
100% |
89
16.7 IPS |
|
|
Image Classification (I8)
|
96% |
89
16.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
234
3.91 IPS |
|
|
Image Segmentation (F16)
|
100% |
132
2.20 IPS |
|
|
Image Segmentation (I8)
|
98% |
133
2.22 IPS |
|
|
Pose Estimation (F32)
|
100% |
346
0.42 IPS |
|
|
Pose Estimation (F16)
|
100% |
151
0.18 IPS |
|
|
Pose Estimation (I8)
|
100% |
154
0.19 IPS |
|
|
Object Detection (F32)
|
100% |
131
9.82 IPS |
|
|
Object Detection (F16)
|
100% |
78
5.80 IPS |
|
|
Object Detection (I8)
|
67% |
76
5.64 IPS |
|
|
Face Detection (F32)
|
100% |
467
5.55 IPS |
|
|
Face Detection (F16)
|
97% |
296
3.52 IPS |
|
|
Face Detection (I8)
|
87% |
293
3.48 IPS |
|
|
Depth Estimation (F32)
|
100% |
485
3.76 IPS |
|
|
Depth Estimation (F16)
|
100% |
222
1.72 IPS |
|
|
Depth Estimation (I8)
|
95% |
221
1.71 IPS |
|
|
Style Transfer (F32)
|
100% |
1027
1.35 IPS |
|
|
Style Transfer (F16)
|
100% |
520
0.68 IPS |
|
|
Style Transfer (I8)
|
98% |
520
0.68 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
231
8.25 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
115
4.10 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
113
4.05 IPS |
|
|
Text Classification (F32)
|
100% |
304
437.1 IPS |
|
|
Text Classification (F16)
|
100% |
304
436.3 IPS |
|
|
Text Classification (I8)
|
92% |
443
636.8 IPS |
|
|
Machine Translation (F32)
|
100% |
479
8.82 IPS |
|
|
Machine Translation (F16)
|
100% |
467
8.59 IPS |
|
|
Machine Translation (I8)
|
64% |
359
6.61 IPS |
