Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2178
Single Precision Score
8100
Half Precision Score
12130
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | February 17 2025 12:33 PM |
| Views | 18 |
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% |
1353
251.6 IPS |
|
|
Image Classification (HP)
|
100% |
6075
1.13 KIPS |
|
|
Image Classification (Q)
|
100% |
8407
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2323
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3012
48.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3095
3.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
29385
34.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
63757
74.7 IPS |
|
|
Object Detection (SP)
|
100% |
1347
106.8 IPS |
|
|
Object Detection (HP)
|
100% |
4920
390.3 IPS |
|
|
Object Detection (Q)
|
87% |
7556
606.5 IPS |
|
|
Face Detection (SP)
|
100% |
3885
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
12295
146.1 IPS |
|
|
Face Detection (Q)
|
100% |
18912
224.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3932
30.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
16993
130.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
31184
242.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8976
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
46464
59.7 IPS |
|
|
Style Transfer (Q)
|
98% |
83955
108.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1780
65.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12587
464.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22413
830.0 IPS |
|
|
Text Classification (SP)
|
100% |
627
836.6 IPS |
|
|
Text Classification (HP)
|
100% |
2021
2.70 KIPS |
|
|
Text Classification (Q)
|
92% |
2050
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1827
31.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2415
41.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2485
42.8 IPS |
