HUAWEI BOHB-WAX9
Geekbench AI Score
976
Single Precision Score
554
Half Precision Score
1389
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | RHAFaraj |
| Upload Date | March 23 2025 12:04 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-10110U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HUAWEI BOHB-WAX9 |
| Motherboard | HUAWEI BOHB-WAX9-PCB-B2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-10110U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
442
82.2 IPS |
|
|
Image Classification (HP)
|
100% |
210
39.1 IPS |
|
|
Image Classification (Q)
|
96% |
955
178.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
416
6.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
331
5.37 IPS |
|
|
Image Segmentation (Q)
|
97% |
852
13.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1339
1.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
1076
1.26 IPS |
|
|
Pose Estimation (Q)
|
86% |
2411
2.85 IPS |
|
|
Object Detection (SP)
|
100% |
688
54.5 IPS |
|
|
Object Detection (HP)
|
100% |
302
24.0 IPS |
|
|
Object Detection (Q)
|
58% |
749
81.8 IPS |
|
|
Face Detection (SP)
|
100% |
1507
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
615
7.31 IPS |
|
|
Face Detection (Q)
|
96% |
2171
25.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1785
13.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
811
6.25 IPS |
|
|
Depth Estimation (Q)
|
78% |
2484
19.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3387
4.35 IPS |
|
|
Style Transfer (HP)
|
100% |
2535
3.26 IPS |
|
|
Style Transfer (Q)
|
87% |
4581
5.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
686
25.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
598
22.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1027
38.1 IPS |
|
|
Text Classification (SP)
|
100% |
749
999.9 IPS |
|
|
Text Classification (HP)
|
100% |
404
539.2 IPS |
|
|
Text Classification (Q)
|
97% |
683
914.9 IPS |
|
|
Machine Translation (SP)
|
100% |
997
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
395
6.81 IPS |
|
|
Machine Translation (Q)
|
68% |
1055
20.4 IPS |
