Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2243
Single Precision Score
8045
Half Precision Score
12120
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 26 2024 08:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Pro 10 for Business |
| Motherboard | Microsoft Corporation Surface Pro 10 for Business |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 135U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1277
237.4 IPS |
|
|
Image Classification (HP)
|
100% |
5699
1.06 KIPS |
|
|
Image Classification (Q)
|
100% |
7933
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1813
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2328
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3116
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3489
4.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
29401
34.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
63326
74.2 IPS |
|
|
Object Detection (SP)
|
100% |
1325
105.1 IPS |
|
|
Object Detection (HP)
|
100% |
4896
388.4 IPS |
|
|
Object Detection (Q)
|
87% |
7658
614.6 IPS |
|
|
Face Detection (SP)
|
100% |
3812
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
12969
154.1 IPS |
|
|
Face Detection (Q)
|
100% |
20856
247.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4018
31.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
16656
128.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
30525
237.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10094
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
45220
58.1 IPS |
|
|
Style Transfer (Q)
|
98% |
81518
105.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1829
67.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12248
452.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21588
799.5 IPS |
|
|
Text Classification (SP)
|
100% |
628
837.7 IPS |
|
|
Text Classification (HP)
|
100% |
1884
2.51 KIPS |
|
|
Text Classification (Q)
|
92% |
1836
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1699
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2640
45.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2774
47.8 IPS |
