HUAWEI NbDE-WXX9
Geekbench AI Score
1654
Single Precision Score
835
Half Precision Score
3078
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | RAJahlan |
| Upload Date | March 27 2025 05:34 PM |
| Views | 10 |
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 NbDE-WXX9 |
| Motherboard | HUAWEI NbDE-WXX9-PCB-B4 |
| 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% |
1030
191.5 IPS |
|
|
Image Classification (HP)
|
100% |
351
65.3 IPS |
|
|
Image Classification (Q)
|
99% |
3406
635.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
766
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
532
8.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
1402
22.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2334
2.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
1941
2.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
9331
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1142
90.6 IPS |
|
|
Object Detection (HP)
|
100% |
407
32.2 IPS |
|
|
Object Detection (Q)
|
86% |
2629
211.3 IPS |
|
|
Face Detection (SP)
|
100% |
2471
29.4 IPS |
|
|
Face Detection (HP)
|
100% |
952
11.3 IPS |
|
|
Face Detection (Q)
|
97% |
4396
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2695
20.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1185
9.13 IPS |
|
|
Depth Estimation (Q)
|
78% |
7262
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5117
6.58 IPS |
|
|
Style Transfer (HP)
|
100% |
4019
5.17 IPS |
|
|
Style Transfer (Q)
|
98% |
11224
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1462
54.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
820
30.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2622
97.1 IPS |
|
|
Text Classification (SP)
|
100% |
1139
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
603
804.8 IPS |
|
|
Text Classification (Q)
|
97% |
401
537.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1287
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
500
8.61 IPS |
|
|
Machine Translation (Q)
|
65% |
1733
34.8 IPS |
