Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2006
Single Precision Score
7611
Half Precision Score
11022
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | January 14 2025 02:20 AM |
| Views | 1 |
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% |
1285
239.0 IPS |
|
|
Image Classification (HP)
|
100% |
5706
1.06 KIPS |
|
|
Image Classification (Q)
|
100% |
7230
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1656
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2238
36.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2878
46.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2977
3.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
29051
33.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
62437
73.1 IPS |
|
|
Object Detection (SP)
|
100% |
1261
100.0 IPS |
|
|
Object Detection (HP)
|
100% |
4688
371.9 IPS |
|
|
Object Detection (Q)
|
87% |
7089
568.9 IPS |
|
|
Face Detection (SP)
|
100% |
3735
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
11563
137.4 IPS |
|
|
Face Detection (Q)
|
100% |
17243
204.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3650
28.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
16662
128.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
26297
204.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5989
7.70 IPS |
|
|
Style Transfer (HP)
|
100% |
45935
59.0 IPS |
|
|
Style Transfer (Q)
|
98% |
83279
107.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1663
61.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11990
442.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20497
759.1 IPS |
|
|
Text Classification (SP)
|
100% |
665
887.4 IPS |
|
|
Text Classification (HP)
|
100% |
1745
2.33 KIPS |
|
|
Text Classification (Q)
|
92% |
1723
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1464
25.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2026
34.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2155
37.1 IPS |
