HUAWEI ADA-AL00U
Geekbench AI Score
225
Single Precision Score
217
Half Precision Score
496
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | ddYIbb |
| Upload Date | January 12 2026 02:28 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | vendor |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI ADA-AL00U |
| Model ID | HUAWEI ADA-AL00U |
| Motherboard | ADL |
| CPU Information | |
|---|---|
| Name | vendor |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM implementer 72 architecture 8 variant 2 part 3330 revision 2 |
| Base Frequency | 1.53 GHz |
| Cluster 1 | 3 Cores @ 1.53 GHz |
| Cluster 2 | 2 Cores @ 2.15 GHz |
| Cluster 3 | 1 Core @ 2.35 GHz |
| Memory Information | |
|---|---|
| Size | 11.31 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
186
34.5 IPS |
|
|
Image Classification (HP)
|
100% |
208
38.7 IPS |
|
|
Image Classification (Q)
|
99% |
483
90.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
269
4.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
270
4.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
509
8.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
323
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
199
0.23 IPS |
|
|
Pose Estimation (Q)
|
98% |
736
0.86 IPS |
|
|
Object Detection (SP)
|
100% |
111
8.77 IPS |
|
|
Object Detection (HP)
|
100% |
112
8.85 IPS |
|
|
Object Detection (Q)
|
87% |
327
26.3 IPS |
|
|
Face Detection (SP)
|
100% |
307
3.65 IPS |
|
|
Face Detection (HP)
|
100% |
311
3.70 IPS |
|
|
Face Detection (Q)
|
97% |
687
8.19 IPS |
|
|
Depth Estimation (SP)
|
100% |
251
1.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
255
1.96 IPS |
|
|
Depth Estimation (Q)
|
64% |
613
5.56 IPS |
|
|
Style Transfer (SP)
|
100% |
457
0.59 IPS |
|
|
Style Transfer (HP)
|
100% |
456
0.59 IPS |
|
|
Style Transfer (Q)
|
98% |
1220
1.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
120
4.43 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
120
4.43 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
427
15.8 IPS |
|
|
Text Classification (SP)
|
100% |
159
212.3 IPS |
|
|
Text Classification (HP)
|
100% |
159
212.6 IPS |
|
|
Text Classification (Q)
|
91% |
290
389.2 IPS |
|
|
Machine Translation (SP)
|
100% |
277
4.76 IPS |
|
|
Machine Translation (HP)
|
100% |
277
4.77 IPS |
|
|
Machine Translation (Q)
|
57% |
241
5.89 IPS |
