HUAWEI VGHH-XX
Geekbench AI Score
3154
Single Precision Score
1257
Half Precision Score
5881
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | yasminewsw |
| Upload Date | October 05 2025 12:14 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
2574
478.8 IPS |
|
|
Image Classification (HP)
|
100% |
477
88.7 IPS |
|
|
Image Classification (Q)
|
99% |
5116
954.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1453
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
869
14.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7394
120.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5402
6.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
3550
4.14 IPS |
|
|
Pose Estimation (Q)
|
94% |
17420
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
2244
178.0 IPS |
|
|
Object Detection (HP)
|
100% |
575
45.6 IPS |
|
|
Object Detection (Q)
|
86% |
4814
386.9 IPS |
|
|
Face Detection (SP)
|
100% |
6796
80.7 IPS |
|
|
Face Detection (HP)
|
100% |
1313
15.6 IPS |
|
|
Face Detection (Q)
|
97% |
6472
77.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5884
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1553
12.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
11877
94.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12191
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8562
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
17698
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2151
79.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1599
59.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4048
149.9 IPS |
|
|
Text Classification (SP)
|
100% |
1234
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
643
858.4 IPS |
|
|
Text Classification (Q)
|
97% |
1218
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1663
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
649
11.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2329
46.8 IPS |
