HUAWEI DBY-W09
Geekbench AI Score
271
Single Precision Score
421
Half Precision Score
430
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | y561994 |
| Upload Date | September 20 2025 09:39 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% |
257
47.9 IPS |
|
|
Image Classification (HP)
|
100% |
377
70.1 IPS |
|
|
Image Classification (Q)
|
97% |
364
67.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
182
2.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
239
3.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
228
3.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
491
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
990
1.16 IPS |
|
|
Pose Estimation (Q)
|
95% |
966
1.13 IPS |
|
|
Object Detection (SP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (HP)
|
100% |
207
16.4 IPS |
|
|
Object Detection (Q)
|
89% |
224
17.9 IPS |
|
|
Face Detection (SP)
|
100% |
632
7.51 IPS |
|
|
Face Detection (HP)
|
100% |
1163
13.8 IPS |
|
|
Face Detection (Q)
|
97% |
1141
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
576
4.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
1108
8.56 IPS |
|
|
Depth Estimation (Q)
|
62% |
903
8.55 IPS |
|
|
Style Transfer (SP)
|
100% |
1108
1.42 IPS |
|
|
Style Transfer (HP)
|
100% |
2861
3.68 IPS |
|
|
Style Transfer (Q)
|
98% |
2834
3.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
262
9.68 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
565
20.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
554
20.5 IPS |
|
|
Text Classification (SP)
|
100% |
51
68.6 IPS |
|
|
Text Classification (HP)
|
100% |
52
69.9 IPS |
|
|
Text Classification (Q)
|
91% |
97
130.5 IPS |
|
|
Machine Translation (SP)
|
100% |
88
1.51 IPS |
|
|
Machine Translation (HP)
|
100% |
88
1.52 IPS |
|
|
Machine Translation (Q)
|
57% |
78
1.91 IPS |
