HUAWEI NbDE-WXX9
Geekbench AI Score
996
Single Precision Score
522
Half Precision Score
2026
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | AA__YATI |
| Upload Date | November 20 2025 01:51 PM |
| Views | 27 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1195G7 |
| 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 i7-1195G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 2 |
| Base Frequency | 2.92 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
902
167.8 IPS |
|
|
Image Classification (HP)
|
100% |
257
47.7 IPS |
|
|
Image Classification (Q)
|
99% |
2640
492.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
448
7.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
315
5.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
1381
22.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1364
1.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
1068
1.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
4481
5.25 IPS |
|
|
Object Detection (SP)
|
100% |
574
45.5 IPS |
|
|
Object Detection (HP)
|
100% |
296
23.5 IPS |
|
|
Object Detection (Q)
|
86% |
1650
132.6 IPS |
|
|
Face Detection (SP)
|
100% |
1737
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
573
6.81 IPS |
|
|
Face Detection (Q)
|
97% |
2740
32.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1727
13.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
679
5.23 IPS |
|
|
Depth Estimation (Q)
|
78% |
4192
33.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3085
3.97 IPS |
|
|
Style Transfer (HP)
|
100% |
2491
3.20 IPS |
|
|
Style Transfer (Q)
|
98% |
7258
9.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
676
25.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
516
19.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1872
69.3 IPS |
|
|
Text Classification (SP)
|
100% |
624
832.8 IPS |
|
|
Text Classification (HP)
|
100% |
350
467.4 IPS |
|
|
Text Classification (Q)
|
97% |
237
317.1 IPS |
|
|
Machine Translation (SP)
|
100% |
782
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
337
5.81 IPS |
|
|
Machine Translation (Q)
|
65% |
1170
23.5 IPS |
