HUAWEI ADA-AL00U
Geekbench AI Score
285
Single Precision Score
172
Half Precision Score
169
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 01 2025 09:45 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI ADA-AL00U |
| Model ID | HUAWEI ADA-AL00U |
| Motherboard | ADL |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| 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% |
121
22.5 IPS |
|
|
Image Classification (HP)
|
100% |
77
14.4 IPS |
|
|
Image Classification (Q)
|
96% |
75
14.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
199
3.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
122
1.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
124
2.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
365
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
157
0.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
155
0.18 IPS |
|
|
Object Detection (SP)
|
100% |
85
6.78 IPS |
|
|
Object Detection (HP)
|
100% |
56
4.40 IPS |
|
|
Object Detection (Q)
|
85% |
52
4.19 IPS |
|
|
Face Detection (SP)
|
100% |
383
4.55 IPS |
|
|
Face Detection (HP)
|
100% |
231
2.75 IPS |
|
|
Face Detection (Q)
|
97% |
236
2.82 IPS |
|
|
Depth Estimation (SP)
|
100% |
432
3.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
181
1.40 IPS |
|
|
Depth Estimation (Q)
|
63% |
150
1.41 IPS |
|
|
Style Transfer (SP)
|
100% |
1042
1.34 IPS |
|
|
Style Transfer (HP)
|
100% |
501
0.64 IPS |
|
|
Style Transfer (Q)
|
98% |
503
0.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
194
7.17 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
93
3.44 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
104
3.86 IPS |
|
|
Text Classification (SP)
|
100% |
305
406.7 IPS |
|
|
Text Classification (HP)
|
100% |
311
414.6 IPS |
|
|
Text Classification (Q)
|
91% |
450
605.0 IPS |
|
|
Machine Translation (SP)
|
100% |
468
8.06 IPS |
|
|
Machine Translation (HP)
|
100% |
465
8.00 IPS |
|
|
Machine Translation (Q)
|
57% |
320
7.81 IPS |
