HUAWEI DBY-W09
Geekbench AI Score
270
Single Precision Score
419
Half Precision Score
431
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | y561994 |
| Upload Date | September 20 2025 08:30 AM |
| Views | 5 |
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% |
255
47.4 IPS |
|
|
Image Classification (HP)
|
100% |
356
66.2 IPS |
|
|
Image Classification (Q)
|
97% |
343
64.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
183
2.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
240
3.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
224
3.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
491
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
990
1.16 IPS |
|
|
Pose Estimation (Q)
|
95% |
976
1.14 IPS |
|
|
Object Detection (SP)
|
100% |
204
16.2 IPS |
|
|
Object Detection (HP)
|
100% |
213
16.9 IPS |
|
|
Object Detection (Q)
|
89% |
223
17.9 IPS |
|
|
Face Detection (SP)
|
100% |
609
7.24 IPS |
|
|
Face Detection (HP)
|
100% |
1166
13.9 IPS |
|
|
Face Detection (Q)
|
97% |
1217
14.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
574
4.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
1123
8.68 IPS |
|
|
Depth Estimation (Q)
|
62% |
926
8.77 IPS |
|
|
Style Transfer (SP)
|
100% |
1108
1.42 IPS |
|
|
Style Transfer (HP)
|
100% |
2861
3.68 IPS |
|
|
Style Transfer (Q)
|
98% |
2842
3.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
266
9.84 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
581
21.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
556
20.6 IPS |
|
|
Text Classification (SP)
|
100% |
49
65.8 IPS |
|
|
Text Classification (HP)
|
100% |
49
65.6 IPS |
|
|
Text Classification (Q)
|
91% |
96
128.8 IPS |
|
|
Machine Translation (SP)
|
100% |
88
1.51 IPS |
|
|
Machine Translation (HP)
|
100% |
88
1.52 IPS |
|
|
Machine Translation (Q)
|
57% |
78
1.90 IPS |
