Shenzhen WEIBU Information Co.,Ltd MTL
Geekbench AI Score
3308
Single Precision Score
4796
Half Precision Score
7289
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 27 2024 09:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Shenzhen WEIBU Information Co.,Ltd MTL |
| Motherboard | Shenzhen WEIBU Information Co.,Ltd Default string |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2420
450.0 IPS |
|
|
Image Classification (HP)
|
100% |
3296
613.0 IPS |
|
|
Image Classification (Q)
|
100% |
4197
780.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2105
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4698
76.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6826
110.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7698
8.98 IPS |
|
|
Pose Estimation (HP)
|
99% |
6754
7.90 IPS |
|
|
Pose Estimation (Q)
|
97% |
20729
24.3 IPS |
|
|
Object Detection (SP)
|
100% |
2144
170.1 IPS |
|
|
Object Detection (HP)
|
100% |
3357
266.3 IPS |
|
|
Object Detection (Q)
|
88% |
5124
410.6 IPS |
|
|
Face Detection (SP)
|
100% |
4236
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
8237
97.9 IPS |
|
|
Face Detection (Q)
|
100% |
13493
160.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7719
59.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11967
92.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
14046
109.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18631
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
22155
28.5 IPS |
|
|
Style Transfer (Q)
|
98% |
48540
62.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3217
118.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5316
196.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8386
310.5 IPS |
|
|
Text Classification (SP)
|
71% |
906
1.31 KIPS |
|
|
Text Classification (HP)
|
71% |
1063
1.54 KIPS |
|
|
Text Classification (Q)
|
92% |
1237
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1054
18.2 IPS |
|
|
Machine Translation (HP)
|
96% |
1489
25.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1458
25.1 IPS |
