Shenzhen WEIBU Information Co.,Ltd MTL
Geekbench AI Score
1939
Single Precision Score
6420
Half Precision Score
10578
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 27 2024 09:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1023
190.2 IPS |
|
|
Image Classification (HP)
|
100% |
5430
1.01 KIPS |
|
|
Image Classification (Q)
|
100% |
7490
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1586
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1801
29.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2825
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3072
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
22113
25.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
60100
70.4 IPS |
|
|
Object Detection (SP)
|
100% |
1167
92.6 IPS |
|
|
Object Detection (HP)
|
100% |
3465
274.8 IPS |
|
|
Object Detection (Q)
|
87% |
5980
480.0 IPS |
|
|
Face Detection (SP)
|
100% |
3283
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
9677
115.0 IPS |
|
|
Face Detection (Q)
|
100% |
16270
193.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3550
27.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
11884
91.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
23055
179.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9382
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34944
44.9 IPS |
|
|
Style Transfer (Q)
|
98% |
67183
86.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1707
63.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8974
331.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20638
764.3 IPS |
|
|
Text Classification (SP)
|
100% |
435
580.6 IPS |
|
|
Text Classification (HP)
|
100% |
1912
2.55 KIPS |
|
|
Text Classification (Q)
|
92% |
1891
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1597
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2305
39.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2346
40.4 IPS |
