HUAWEI DBY-W09
Geekbench AI Score
269
Single Precision Score
418
Half Precision Score
429
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | y561994 |
| Upload Date | September 20 2025 08:57 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
251
46.6 IPS |
|
|
Image Classification (HP)
|
100% |
355
66.0 IPS |
|
|
Image Classification (Q)
|
97% |
349
65.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
187
3.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
234
3.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
230
3.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
492
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
983
1.15 IPS |
|
|
Pose Estimation (Q)
|
95% |
974
1.14 IPS |
|
|
Object Detection (SP)
|
100% |
200
15.8 IPS |
|
|
Object Detection (HP)
|
100% |
210
16.7 IPS |
|
|
Object Detection (Q)
|
89% |
222
17.8 IPS |
|
|
Face Detection (SP)
|
100% |
591
7.02 IPS |
|
|
Face Detection (HP)
|
100% |
1159
13.8 IPS |
|
|
Face Detection (Q)
|
97% |
1150
13.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
579
4.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
1107
8.55 IPS |
|
|
Depth Estimation (Q)
|
62% |
908
8.59 IPS |
|
|
Style Transfer (SP)
|
100% |
1107
1.42 IPS |
|
|
Style Transfer (HP)
|
100% |
2865
3.68 IPS |
|
|
Style Transfer (Q)
|
98% |
2833
3.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
263
9.71 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
565
20.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
554
20.5 IPS |
|
|
Text Classification (SP)
|
100% |
51
67.7 IPS |
|
|
Text Classification (HP)
|
100% |
52
68.8 IPS |
|
|
Text Classification (Q)
|
91% |
97
130.3 IPS |
|
|
Machine Translation (SP)
|
100% |
87
1.50 IPS |
|
|
Machine Translation (HP)
|
100% |
88
1.52 IPS |
|
|
Machine Translation (Q)
|
57% |
78
1.90 IPS |
