HUAWEI DBY-W09
Geekbench AI Score
316
Single Precision Score
317
Half Precision Score
609
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | y561994 |
| Upload Date | September 20 2025 07:59 AM |
| Views | 8 |
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% |
157
29.2 IPS |
|
|
Image Classification (HP)
|
100% |
160
29.8 IPS |
|
|
Image Classification (Q)
|
100% |
402
74.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
182
2.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
184
2.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
475
7.73 IPS |
|
|
Pose Estimation (SP)
|
100% |
625
0.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
624
0.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
1204
1.43 IPS |
|
|
Object Detection (SP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (HP)
|
100% |
156
12.3 IPS |
|
|
Object Detection (Q)
|
83% |
413
33.3 IPS |
|
|
Face Detection (SP)
|
100% |
380
4.51 IPS |
|
|
Face Detection (HP)
|
100% |
377
4.47 IPS |
|
|
Face Detection (Q)
|
95% |
864
10.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
548
4.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
569
4.38 IPS |
|
|
Depth Estimation (Q)
|
64% |
1032
9.46 IPS |
|
|
Style Transfer (SP)
|
89% |
1164
1.51 IPS |
|
|
Style Transfer (HP)
|
89% |
1161
1.51 IPS |
|
|
Style Transfer (Q)
|
98% |
2512
3.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
311
11.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
307
11.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
645
23.9 IPS |
|
|
Text Classification (SP)
|
100% |
174
231.6 IPS |
|
|
Text Classification (HP)
|
100% |
174
232.0 IPS |
|
|
Text Classification (Q)
|
88% |
289
389.4 IPS |
|
|
Machine Translation (SP)
|
100% |
278
4.79 IPS |
|
|
Machine Translation (HP)
|
100% |
273
4.71 IPS |
|
|
Machine Translation (Q)
|
50% |
179
6.35 IPS |
