HUAWEI DBY-W09
Geekbench AI Score
331
Single Precision Score
328
Half Precision Score
640
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | y561994 |
| Upload Date | September 20 2025 07:16 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% |
185
34.5 IPS |
|
|
Image Classification (HP)
|
100% |
173
32.2 IPS |
|
|
Image Classification (Q)
|
100% |
485
90.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
179
2.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
187
3.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
511
8.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
688
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
735
0.86 IPS |
|
|
Pose Estimation (Q)
|
84% |
1244
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
172
13.7 IPS |
|
|
Object Detection (HP)
|
100% |
166
13.1 IPS |
|
|
Object Detection (Q)
|
83% |
480
38.7 IPS |
|
|
Face Detection (SP)
|
100% |
384
4.57 IPS |
|
|
Face Detection (HP)
|
100% |
377
4.48 IPS |
|
|
Face Detection (Q)
|
95% |
915
10.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
558
4.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
562
4.33 IPS |
|
|
Depth Estimation (Q)
|
64% |
1064
9.74 IPS |
|
|
Style Transfer (SP)
|
89% |
1191
1.55 IPS |
|
|
Style Transfer (HP)
|
89% |
1170
1.52 IPS |
|
|
Style Transfer (Q)
|
98% |
2590
3.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
327
12.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
317
11.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
613
22.7 IPS |
|
|
Text Classification (SP)
|
100% |
175
233.7 IPS |
|
|
Text Classification (HP)
|
100% |
169
225.1 IPS |
|
|
Text Classification (Q)
|
88% |
283
381.9 IPS |
|
|
Machine Translation (SP)
|
100% |
280
4.82 IPS |
|
|
Machine Translation (HP)
|
100% |
278
4.80 IPS |
|
|
Machine Translation (Q)
|
50% |
180
6.39 IPS |
