HUAWEI DBY-W09
Geekbench AI Score
427
Single Precision Score
525
Half Precision Score
1989
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | y561994 |
| Upload Date | September 20 2025 10:45 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI DBY-W09 |
| Model ID | HUAWEI DBY-W09 |
| Motherboard | DBY |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 5.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
426
79.2 IPS |
|
|
Image Classification (HP)
|
100% |
721
134.1 IPS |
|
|
Image Classification (Q)
|
97% |
1442
269.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
617
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
206
3.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
1326
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1427
1.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
5491
6.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
11760
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
419
33.2 IPS |
|
|
Object Detection (HP)
|
100% |
156
12.4 IPS |
|
|
Object Detection (Q)
|
85% |
1690
136.0 IPS |
|
|
Face Detection (SP)
|
100% |
1213
14.4 IPS |
|
|
Face Detection (HP)
|
100% |
389
4.63 IPS |
|
|
Face Detection (Q)
|
97% |
3819
45.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
516
3.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
325
2.50 IPS |
|
|
Depth Estimation (Q)
|
63% |
6671
62.1 IPS |
|
|
Style Transfer (SP)
|
100% |
823
1.06 IPS |
|
|
Style Transfer (HP)
|
100% |
544
0.70 IPS |
|
|
Style Transfer (Q)
|
98% |
4093
5.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
739
27.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2171
80.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5659
209.7 IPS |
|
|
Text Classification (SP)
|
71% |
12
17.0 IPS |
|
|
Text Classification (HP)
|
100% |
228
304.4 IPS |
|
|
Text Classification (Q)
|
93% |
175
234.5 IPS |
|
|
Machine Translation (SP)
|
100% |
287
4.95 IPS |
|
|
Machine Translation (HP)
|
100% |
372
6.41 IPS |
|
|
Machine Translation (Q)
|
54% |
248
7.00 IPS |
