HUAWEI VGHH-XX
Geekbench AI Score
8149
Single Precision Score
13092
Half Precision Score
19824
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | yasminewsw |
| Upload Date | October 05 2025 01:45 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
5673
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
8421
1.57 KIPS |
|
|
Image Classification (Q)
|
100% |
9762
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4673
75.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12490
202.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
18351
297.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
23553
27.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
21921
25.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
74117
86.8 IPS |
|
|
Object Detection (SP)
|
100% |
5486
435.1 IPS |
|
|
Object Detection (HP)
|
100% |
8853
702.2 IPS |
|
|
Object Detection (Q)
|
88% |
12888
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
9713
115.4 IPS |
|
|
Face Detection (HP)
|
100% |
19405
230.6 IPS |
|
|
Face Detection (Q)
|
100% |
33097
393.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18871
145.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
33255
257.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
39163
304.4 IPS |
|
|
Style Transfer (SP)
|
100% |
55427
71.3 IPS |
|
|
Style Transfer (HP)
|
100% |
71989
92.5 IPS |
|
|
Style Transfer (Q)
|
98% |
176541
227.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9101
336.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15901
587.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23768
880.2 IPS |
|
|
Text Classification (SP)
|
71% |
1615
2.34 KIPS |
|
|
Text Classification (HP)
|
71% |
2648
3.83 KIPS |
|
|
Text Classification (Q)
|
92% |
2627
3.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2525
43.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3706
64.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3834
66.3 IPS |
