HUAWEI VGHH-XX
Geekbench AI Score
3036
Single Precision Score
1251
Half Precision Score
5754
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | siAlmasoudi |
| Upload Date | February 22 2026 10:42 AM |
| Views | 36 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HUAWEI VGHH-XX |
| Motherboard | HUAWEI VGHH-XX-PCB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2493
463.6 IPS |
|
|
Image Classification (HP)
|
100% |
509
94.7 IPS |
|
|
Image Classification (Q)
|
99% |
5222
974.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1345
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
932
15.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7595
123.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5353
6.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
3437
4.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
17319
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
2135
169.3 IPS |
|
|
Object Detection (HP)
|
100% |
564
44.7 IPS |
|
|
Object Detection (Q)
|
86% |
4958
398.5 IPS |
|
|
Face Detection (SP)
|
100% |
6463
76.8 IPS |
|
|
Face Detection (HP)
|
100% |
1271
15.1 IPS |
|
|
Face Detection (Q)
|
97% |
7629
91.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6036
46.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1671
12.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
11555
92.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11390
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7689
9.88 IPS |
|
|
Style Transfer (Q)
|
98% |
16723
21.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1932
71.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1464
54.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3502
129.7 IPS |
|
|
Text Classification (SP)
|
100% |
1222
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
601
802.5 IPS |
|
|
Text Classification (Q)
|
97% |
1030
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1659
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
712
12.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2200
44.2 IPS |
