HUAWEI VGHH-XX
Geekbench AI Score
1913
Single Precision Score
1927
Half Precision Score
1318
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | aaalzhrani |
| Upload Date | April 09 2025 11:51 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Kali GNU/Linux Rolling |
| 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 | 4.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.08 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1319
245.4 IPS |
|
|
Image Classification (HP)
|
100% |
1337
248.6 IPS |
|
|
Image Classification (Q)
|
99% |
806
150.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2125
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2130
34.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1006
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2389
2.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
2284
2.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
2863
3.35 IPS |
|
|
Object Detection (SP)
|
100% |
1418
112.5 IPS |
|
|
Object Detection (HP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (Q)
|
85% |
980
78.8 IPS |
|
|
Face Detection (SP)
|
100% |
2862
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
2884
34.3 IPS |
|
|
Face Detection (Q)
|
97% |
2090
24.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2441
18.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2486
19.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
1823
17.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3047
3.92 IPS |
|
|
Style Transfer (HP)
|
100% |
3063
3.94 IPS |
|
|
Style Transfer (Q)
|
98% |
5223
6.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1749
64.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1771
65.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1282
47.5 IPS |
|
|
Text Classification (SP)
|
100% |
1122
1.50 KIPS |
|
|
Text Classification (HP)
|
100% |
929
1.24 KIPS |
|
|
Text Classification (Q)
|
92% |
566
760.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1661
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1991
34.3 IPS |
|
|
Machine Translation (Q)
|
58% |
485
11.4 IPS |
