Shenzhen WEIBU Information Co.,Ltd MTL
Geekbench AI Score
3322
Single Precision Score
4918
Half Precision Score
7293
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 27 2024 09:23 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% |
2362
439.2 IPS |
|
|
Image Classification (HP)
|
100% |
3289
611.7 IPS |
|
|
Image Classification (Q)
|
100% |
3571
664.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2110
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4678
75.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6813
110.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7681
8.96 IPS |
|
|
Pose Estimation (HP)
|
99% |
7046
8.25 IPS |
|
|
Pose Estimation (Q)
|
97% |
20972
24.6 IPS |
|
|
Object Detection (SP)
|
100% |
2136
169.5 IPS |
|
|
Object Detection (HP)
|
100% |
3340
265.0 IPS |
|
|
Object Detection (Q)
|
88% |
5149
412.6 IPS |
|
|
Face Detection (SP)
|
100% |
4243
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
8378
99.5 IPS |
|
|
Face Detection (Q)
|
100% |
13470
160.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7672
59.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12441
96.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
14378
111.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18899
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
25731
33.1 IPS |
|
|
Style Transfer (Q)
|
98% |
53401
68.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3371
124.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5570
205.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8585
317.9 IPS |
|
|
Text Classification (SP)
|
71% |
908
1.31 KIPS |
|
|
Text Classification (HP)
|
71% |
1084
1.57 KIPS |
|
|
Text Classification (Q)
|
92% |
1242
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1066
18.4 IPS |
|
|
Machine Translation (HP)
|
96% |
1412
24.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1471
25.3 IPS |
