HUAWEI VGHH-XX
Geekbench AI Score
2785
Single Precision Score
2762
Half Precision Score
6668
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | yasminewsw |
| Upload Date | October 05 2025 01:39 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HUAWEI VGHH-XX |
| Motherboard | HUAWEI VGHH-XX-PCB |
| 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% |
1455
270.6 IPS |
|
|
Image Classification (HP)
|
100% |
1506
280.0 IPS |
|
|
Image Classification (Q)
|
100% |
4619
858.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2303
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2343
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4619
74.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3967
4.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
3751
4.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
13467
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1553
123.2 IPS |
|
|
Object Detection (HP)
|
100% |
1559
123.6 IPS |
|
|
Object Detection (Q)
|
88% |
4497
360.5 IPS |
|
|
Face Detection (SP)
|
100% |
5064
60.2 IPS |
|
|
Face Detection (HP)
|
100% |
5040
59.9 IPS |
|
|
Face Detection (Q)
|
100% |
9667
114.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4303
33.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4337
33.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
11151
86.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9910
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10320
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
34330
44.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1995
73.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1977
73.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6626
245.4 IPS |
|
|
Text Classification (SP)
|
100% |
1829
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
1706
2.28 KIPS |
|
|
Text Classification (Q)
|
92% |
3160
4.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1730
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1646
28.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1737
29.9 IPS |
