HUAWEI DBY-W09
Geekbench AI Score
327
Single Precision Score
333
Half Precision Score
633
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | y561994 |
| Upload Date | September 20 2025 07:49 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% |
173
32.1 IPS |
|
|
Image Classification (HP)
|
100% |
176
32.8 IPS |
|
|
Image Classification (Q)
|
100% |
488
90.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
191
3.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
219
3.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
493
8.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
671
0.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
666
0.78 IPS |
|
|
Pose Estimation (Q)
|
84% |
1133
1.34 IPS |
|
|
Object Detection (SP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (HP)
|
100% |
172
13.6 IPS |
|
|
Object Detection (Q)
|
83% |
488
39.4 IPS |
|
|
Face Detection (SP)
|
100% |
390
4.64 IPS |
|
|
Face Detection (HP)
|
100% |
395
4.69 IPS |
|
|
Face Detection (Q)
|
95% |
922
11.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
560
4.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
558
4.30 IPS |
|
|
Depth Estimation (Q)
|
64% |
1034
9.47 IPS |
|
|
Style Transfer (SP)
|
89% |
1164
1.51 IPS |
|
|
Style Transfer (HP)
|
89% |
1161
1.51 IPS |
|
|
Style Transfer (Q)
|
98% |
2517
3.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
308
11.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
315
11.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
642
23.8 IPS |
|
|
Text Classification (SP)
|
100% |
171
228.7 IPS |
|
|
Text Classification (HP)
|
100% |
171
228.0 IPS |
|
|
Text Classification (Q)
|
88% |
283
381.1 IPS |
|
|
Machine Translation (SP)
|
100% |
282
4.86 IPS |
|
|
Machine Translation (HP)
|
100% |
283
4.87 IPS |
|
|
Machine Translation (Q)
|
50% |
180
6.39 IPS |
