HUAWEI VGHH-XX
Geekbench AI Score
7678
Single Precision Score
12048
Half Precision Score
17714
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | July 15 2025 10:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | HUAWEI VGHH-XX |
| Motherboard | HUAWEI VGHH-XX-PCB |
| Power Plan | Utilisation normale |
| 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% |
5200
967.1 IPS |
|
|
Image Classification (HP)
|
100% |
7605
1.41 KIPS |
|
|
Image Classification (Q)
|
100% |
8567
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4276
69.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
10234
165.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
15102
244.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
23083
26.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
23357
27.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
76313
89.3 IPS |
|
|
Object Detection (SP)
|
100% |
4845
384.3 IPS |
|
|
Object Detection (HP)
|
100% |
7687
609.8 IPS |
|
|
Object Detection (Q)
|
88% |
10300
825.4 IPS |
|
|
Face Detection (SP)
|
100% |
8752
104.0 IPS |
|
|
Face Detection (HP)
|
100% |
17800
211.5 IPS |
|
|
Face Detection (Q)
|
100% |
28510
338.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18570
143.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
31144
240.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
37066
288.1 IPS |
|
|
Style Transfer (SP)
|
100% |
55248
71.0 IPS |
|
|
Style Transfer (HP)
|
100% |
70457
90.6 IPS |
|
|
Style Transfer (Q)
|
98% |
169468
218.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9168
338.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15540
573.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22208
822.4 IPS |
|
|
Text Classification (SP)
|
71% |
1453
2.10 KIPS |
|
|
Text Classification (HP)
|
71% |
2663
3.85 KIPS |
|
|
Text Classification (Q)
|
92% |
2628
3.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2394
41.2 IPS |
|
|
Machine Translation (HP)
|
96% |
2855
49.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2863
49.3 IPS |
