HUAWEI WRTB-WXX9
Geekbench AI Score
1175
Single Precision Score
596
Half Precision Score
1572
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 18 2025 06:09 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10210U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HUAWEI WRTB-WXX9 |
| Motherboard | HUAWEI WRTB-WXX9-PCB |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10210U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
749
139.2 IPS |
|
|
Image Classification (HP)
|
100% |
269
50.0 IPS |
|
|
Image Classification (Q)
|
96% |
1464
273.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
543
8.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
398
6.45 IPS |
|
|
Image Segmentation (Q)
|
97% |
1204
19.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1686
1.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
1332
1.55 IPS |
|
|
Pose Estimation (Q)
|
86% |
3397
4.02 IPS |
|
|
Object Detection (SP)
|
100% |
911
72.3 IPS |
|
|
Object Detection (HP)
|
100% |
309
24.5 IPS |
|
|
Object Detection (Q)
|
58% |
1041
113.8 IPS |
|
|
Face Detection (SP)
|
100% |
1966
23.4 IPS |
|
|
Face Detection (HP)
|
100% |
721
8.56 IPS |
|
|
Face Detection (Q)
|
96% |
3117
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2355
18.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
900
6.93 IPS |
|
|
Depth Estimation (Q)
|
78% |
3830
30.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4378
5.63 IPS |
|
|
Style Transfer (HP)
|
100% |
2703
3.47 IPS |
|
|
Style Transfer (Q)
|
87% |
5053
6.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
755
27.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
595
22.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1249
46.3 IPS |
|
|
Text Classification (SP)
|
100% |
595
793.8 IPS |
|
|
Text Classification (HP)
|
100% |
366
488.0 IPS |
|
|
Text Classification (Q)
|
97% |
208
278.2 IPS |
|
|
Machine Translation (SP)
|
100% |
885
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
338
5.82 IPS |
|
|
Machine Translation (Q)
|
68% |
944
18.2 IPS |
