Shenzhen WEIBU Information Co.,Ltd MTL
Geekbench AI Score
3778
Single Precision Score
5337
Half Precision Score
7874
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 27 2024 09:12 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 (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% |
2585
480.7 IPS |
|
|
Image Classification (HP)
|
100% |
3353
623.5 IPS |
|
|
Image Classification (Q)
|
100% |
4403
818.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3157
51.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5587
90.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7942
128.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7726
9.01 IPS |
|
|
Pose Estimation (HP)
|
99% |
6943
8.13 IPS |
|
|
Pose Estimation (Q)
|
97% |
21218
24.8 IPS |
|
|
Object Detection (SP)
|
100% |
2346
186.1 IPS |
|
|
Object Detection (HP)
|
100% |
3507
278.1 IPS |
|
|
Object Detection (Q)
|
88% |
5265
421.9 IPS |
|
|
Face Detection (SP)
|
100% |
6414
76.2 IPS |
|
|
Face Detection (HP)
|
100% |
11066
131.5 IPS |
|
|
Face Detection (Q)
|
100% |
15399
183.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8265
63.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13108
101.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
14989
116.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20005
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27130
34.9 IPS |
|
|
Style Transfer (Q)
|
98% |
55595
71.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3416
126.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5660
209.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8698
322.1 IPS |
|
|
Text Classification (SP)
|
71% |
960
1.39 KIPS |
|
|
Text Classification (HP)
|
71% |
1124
1.63 KIPS |
|
|
Text Classification (Q)
|
92% |
1283
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1152
19.8 IPS |
|
|
Machine Translation (HP)
|
96% |
1643
28.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1639
28.2 IPS |
