Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
1720
Single Precision Score
6890
Half Precision Score
9489
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | February 17 2025 12:30 PM |
| 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% |
1023
190.3 IPS |
|
|
Image Classification (HP)
|
100% |
4021
747.9 IPS |
|
|
Image Classification (Q)
|
100% |
5687
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1331
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2799
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2728
3.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
28521
33.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
61347
71.9 IPS |
|
|
Object Detection (SP)
|
100% |
1075
85.3 IPS |
|
|
Object Detection (HP)
|
100% |
4278
339.3 IPS |
|
|
Object Detection (Q)
|
87% |
5772
463.2 IPS |
|
|
Face Detection (SP)
|
100% |
3334
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
10486
124.6 IPS |
|
|
Face Detection (Q)
|
100% |
15223
180.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3414
26.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15987
123.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
28296
220.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8603
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
43976
56.5 IPS |
|
|
Style Transfer (Q)
|
98% |
77518
100.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1572
58.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9974
368.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16898
625.8 IPS |
|
|
Text Classification (SP)
|
100% |
340
454.3 IPS |
|
|
Text Classification (HP)
|
100% |
1544
2.06 KIPS |
|
|
Text Classification (Q)
|
92% |
939
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1090
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2031
35.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1983
34.2 IPS |
