HUAWEI BoDE-WXX9
Geekbench AI Score
1251
Single Precision Score
676
Half Precision Score
3170
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | mbzafar |
| Upload Date | April 12 2026 01:55 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1155G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HUAWEI BoDE-WXX9 |
| Motherboard | HUAWEI BoDE-WXX9-PCB-B4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1155G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
879
163.4 IPS |
|
|
Image Classification (HP)
|
100% |
284
52.8 IPS |
|
|
Image Classification (Q)
|
99% |
2599
484.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
541
8.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
409
6.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
2915
47.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1790
2.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
1499
1.75 IPS |
|
|
Pose Estimation (Q)
|
94% |
6858
8.04 IPS |
|
|
Object Detection (SP)
|
100% |
884
70.1 IPS |
|
|
Object Detection (HP)
|
100% |
284
22.5 IPS |
|
|
Object Detection (Q)
|
86% |
2446
196.6 IPS |
|
|
Face Detection (SP)
|
100% |
2203
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
762
9.05 IPS |
|
|
Face Detection (Q)
|
97% |
3972
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2208
17.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
982
7.57 IPS |
|
|
Depth Estimation (Q)
|
78% |
6057
48.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4106
5.28 IPS |
|
|
Style Transfer (HP)
|
100% |
3447
4.43 IPS |
|
|
Style Transfer (Q)
|
98% |
10018
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
779
28.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
775
28.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2538
94.0 IPS |
|
|
Text Classification (SP)
|
100% |
818
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
465
620.3 IPS |
|
|
Text Classification (Q)
|
97% |
869
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
987
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
439
7.56 IPS |
|
|
Machine Translation (Q)
|
65% |
1519
30.5 IPS |
