Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
1374
Single Precision Score
6728
Half Precision Score
10149
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 26 2024 10:20 PM |
| Views | 3 |
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% |
979
182.0 IPS |
|
|
Image Classification (HP)
|
100% |
4672
868.9 IPS |
|
|
Image Classification (Q)
|
100% |
6855
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
995
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2201
35.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2870
46.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1979
2.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
28452
33.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
58795
68.9 IPS |
|
|
Object Detection (SP)
|
100% |
992
78.7 IPS |
|
|
Object Detection (HP)
|
100% |
3981
315.8 IPS |
|
|
Object Detection (Q)
|
87% |
6081
488.0 IPS |
|
|
Face Detection (SP)
|
100% |
3065
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
10774
128.0 IPS |
|
|
Face Detection (Q)
|
100% |
15839
188.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2536
19.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
16027
123.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
28669
223.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6239
8.02 IPS |
|
|
Style Transfer (HP)
|
100% |
41741
53.7 IPS |
|
|
Style Transfer (Q)
|
98% |
79981
103.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
886
32.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11128
410.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19196
710.9 IPS |
|
|
Text Classification (SP)
|
100% |
304
405.5 IPS |
|
|
Text Classification (HP)
|
100% |
1058
1.41 KIPS |
|
|
Text Classification (Q)
|
92% |
1185
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
961
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1925
33.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1997
34.4 IPS |
