HUAWEI WRTB-WXX9
Geekbench AI Score
652
Single Precision Score
333
Half Precision Score
1090
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | AAFatani |
| Upload Date | April 11 2025 04:19 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10210U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Insider Preview (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% |
464
86.3 IPS |
|
|
Image Classification (HP)
|
100% |
106
19.8 IPS |
|
|
Image Classification (Q)
|
96% |
426
79.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
104
1.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
107
1.73 IPS |
|
|
Image Segmentation (Q)
|
97% |
588
9.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
1048
1.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
779
0.91 IPS |
|
|
Pose Estimation (Q)
|
86% |
1876
2.22 IPS |
|
|
Object Detection (SP)
|
100% |
497
39.4 IPS |
|
|
Object Detection (HP)
|
100% |
181
14.4 IPS |
|
|
Object Detection (Q)
|
58% |
601
65.6 IPS |
|
|
Face Detection (SP)
|
100% |
1299
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
402
4.77 IPS |
|
|
Face Detection (Q)
|
96% |
2171
25.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1227
9.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
477
3.68 IPS |
|
|
Depth Estimation (Q)
|
78% |
2095
16.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2509
3.22 IPS |
|
|
Style Transfer (HP)
|
100% |
1749
2.25 IPS |
|
|
Style Transfer (Q)
|
87% |
4362
5.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
522
19.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
380
14.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
666
24.7 IPS |
|
|
Text Classification (SP)
|
100% |
382
510.2 IPS |
|
|
Text Classification (HP)
|
100% |
284
378.5 IPS |
|
|
Text Classification (Q)
|
97% |
581
777.9 IPS |
|
|
Machine Translation (SP)
|
100% |
702
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
290
5.00 IPS |
|
|
Machine Translation (Q)
|
68% |
1095
21.2 IPS |
