HUAWEI DBY-W09
Geekbench AI Score
312
Single Precision Score
314
Half Precision Score
606
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | y561994 |
| Upload Date | September 20 2025 07:28 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
157
29.2 IPS |
|
|
Image Classification (HP)
|
100% |
161
29.9 IPS |
|
|
Image Classification (Q)
|
100% |
410
76.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
180
2.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
182
2.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
480
7.80 IPS |
|
|
Pose Estimation (SP)
|
100% |
639
0.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
629
0.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
1208
1.43 IPS |
|
|
Object Detection (SP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (HP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (Q)
|
83% |
411
33.2 IPS |
|
|
Face Detection (SP)
|
100% |
374
4.44 IPS |
|
|
Face Detection (HP)
|
100% |
377
4.48 IPS |
|
|
Face Detection (Q)
|
95% |
843
10.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
546
4.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
551
4.24 IPS |
|
|
Depth Estimation (Q)
|
64% |
1016
9.30 IPS |
|
|
Style Transfer (SP)
|
89% |
1159
1.50 IPS |
|
|
Style Transfer (HP)
|
89% |
1158
1.50 IPS |
|
|
Style Transfer (Q)
|
98% |
2525
3.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
307
11.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
308
11.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
629
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
156
208.2 IPS |
|
|
Text Classification (HP)
|
100% |
163
217.3 IPS |
|
|
Text Classification (Q)
|
88% |
284
383.4 IPS |
|
|
Machine Translation (SP)
|
100% |
280
4.82 IPS |
|
|
Machine Translation (HP)
|
100% |
276
4.75 IPS |
|
|
Machine Translation (Q)
|
50% |
177
6.27 IPS |
