HUAWEI ADY-AL00
Geekbench AI Score
356
Single Precision Score
364
Half Precision Score
823
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | January 02 2026 08:53 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI ADY-AL00 |
| Model ID | HUAWEI ADY-AL00 |
| 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% |
210
39.1 IPS |
|
|
Image Classification (HP)
|
100% |
226
42.1 IPS |
|
|
Image Classification (Q)
|
99% |
576
107.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
282
4.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
292
4.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
569
9.25 IPS |
|
|
Pose Estimation (SP)
|
100% |
387
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
386
0.45 IPS |
|
|
Pose Estimation (Q)
|
98% |
1510
1.77 IPS |
|
|
Object Detection (SP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (HP)
|
100% |
217
17.2 IPS |
|
|
Object Detection (Q)
|
87% |
637
51.1 IPS |
|
|
Face Detection (SP)
|
100% |
505
6.00 IPS |
|
|
Face Detection (HP)
|
100% |
522
6.21 IPS |
|
|
Face Detection (Q)
|
97% |
1203
14.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
443
3.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
454
3.50 IPS |
|
|
Depth Estimation (Q)
|
64% |
1108
10.1 IPS |
|
|
Style Transfer (SP)
|
100% |
785
1.01 IPS |
|
|
Style Transfer (HP)
|
100% |
790
1.02 IPS |
|
|
Style Transfer (Q)
|
98% |
2060
2.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
231
8.52 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
230
8.51 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
896
33.2 IPS |
|
|
Text Classification (SP)
|
100% |
335
446.9 IPS |
|
|
Text Classification (HP)
|
100% |
341
455.0 IPS |
|
|
Text Classification (Q)
|
91% |
496
666.9 IPS |
|
|
Machine Translation (SP)
|
100% |
518
8.92 IPS |
|
|
Machine Translation (HP)
|
100% |
517
8.91 IPS |
|
|
Machine Translation (Q)
|
57% |
371
9.07 IPS |
