HUAWEI VGHH-XX
Geekbench AI Score
2694
Single Precision Score
2625
Half Precision Score
6616
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | jandres |
| Upload Date | April 06 2025 11:09 PM |
| Views | 10 |
| Notes | test con varias aplicaciones corriendo |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HUAWEI VGHH-XX |
| Motherboard | HUAWEI VGHH-XX-PCB |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1176
218.7 IPS |
|
|
Image Classification (HP)
|
100% |
1099
204.5 IPS |
|
|
Image Classification (Q)
|
100% |
4852
902.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2303
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2216
35.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3621
58.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4026
4.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
4098
4.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
14820
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1250
99.1 IPS |
|
|
Object Detection (HP)
|
100% |
1177
93.3 IPS |
|
|
Object Detection (Q)
|
88% |
4728
379.0 IPS |
|
|
Face Detection (SP)
|
100% |
3817
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
3839
45.6 IPS |
|
|
Face Detection (Q)
|
100% |
10129
120.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4719
36.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4785
36.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
11445
89.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11853
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11769
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
37601
48.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2067
76.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2050
75.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7463
276.4 IPS |
|
|
Text Classification (SP)
|
100% |
1675
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
1731
2.31 KIPS |
|
|
Text Classification (Q)
|
92% |
2596
3.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1999
34.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1728
29.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1547
26.6 IPS |
