Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
1616
Single Precision Score
7939
Half Precision Score
11556
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | February 14 2025 09:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | Microsoft Corporation Surface Pro 10 for Business |
| Motherboard | Microsoft Corporation Surface Pro 10 for Business |
| Power Plan | Bitsum Highest Performance |
| 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% |
1220
226.8 IPS |
|
|
Image Classification (HP)
|
100% |
5783
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
7725
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1224
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2311
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3039
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2030
2.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
29448
34.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
62956
73.7 IPS |
|
|
Object Detection (SP)
|
100% |
945
75.0 IPS |
|
|
Object Detection (HP)
|
100% |
4811
381.6 IPS |
|
|
Object Detection (Q)
|
87% |
6057
486.1 IPS |
|
|
Face Detection (SP)
|
100% |
3018
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
12346
146.7 IPS |
|
|
Face Detection (Q)
|
100% |
19363
230.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2595
20.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
16869
130.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
30670
238.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6001
7.72 IPS |
|
|
Style Transfer (HP)
|
100% |
45234
58.1 IPS |
|
|
Style Transfer (Q)
|
98% |
80606
103.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1296
47.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12150
448.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21430
793.6 IPS |
|
|
Text Classification (SP)
|
100% |
496
661.5 IPS |
|
|
Text Classification (HP)
|
100% |
1937
2.59 KIPS |
|
|
Text Classification (Q)
|
92% |
1936
2.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1404
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2370
40.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2390
41.2 IPS |
