HUAWEI VGHH-XX
Geekbench AI Score
8428
Single Precision Score
13125
Half Precision Score
19865
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | siAlmasoudi |
| Upload Date | February 22 2026 12:02 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
5954
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
8512
1.58 KIPS |
|
|
Image Classification (Q)
|
100% |
9484
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4734
76.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12197
197.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
18512
300.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
24596
28.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
22347
26.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
75872
88.8 IPS |
|
|
Object Detection (SP)
|
100% |
5474
434.2 IPS |
|
|
Object Detection (HP)
|
100% |
9070
719.5 IPS |
|
|
Object Detection (Q)
|
88% |
12920
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
9623
114.3 IPS |
|
|
Face Detection (HP)
|
100% |
19753
234.7 IPS |
|
|
Face Detection (Q)
|
100% |
32784
389.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19782
152.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
33372
257.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
38772
301.4 IPS |
|
|
Style Transfer (SP)
|
100% |
57268
73.6 IPS |
|
|
Style Transfer (HP)
|
100% |
69527
89.4 IPS |
|
|
Style Transfer (Q)
|
98% |
186821
240.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9220
340.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15442
570.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23290
862.5 IPS |
|
|
Text Classification (SP)
|
71% |
1695
2.45 KIPS |
|
|
Text Classification (HP)
|
71% |
2759
3.99 KIPS |
|
|
Text Classification (Q)
|
92% |
2737
3.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2799
48.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3694
63.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3674
63.5 IPS |
