Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2245
Single Precision Score
8332
Half Precision Score
12547
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | February 18 2025 10:56 PM |
| Views | 2 |
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% |
1319
245.3 IPS |
|
|
Image Classification (HP)
|
100% |
6118
1.14 KIPS |
|
|
Image Classification (Q)
|
100% |
8355
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1767
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2377
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3182
51.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3432
4.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
29503
34.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
64483
75.5 IPS |
|
|
Object Detection (SP)
|
100% |
1326
105.2 IPS |
|
|
Object Detection (HP)
|
100% |
5058
401.2 IPS |
|
|
Object Detection (Q)
|
87% |
7914
635.2 IPS |
|
|
Face Detection (SP)
|
100% |
3606
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
13303
158.1 IPS |
|
|
Face Detection (Q)
|
100% |
21491
255.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4034
31.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
17228
132.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
31645
246.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10160
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
46064
59.2 IPS |
|
|
Style Transfer (Q)
|
98% |
83309
107.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1738
64.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12495
461.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22488
832.8 IPS |
|
|
Text Classification (SP)
|
100% |
657
877.4 IPS |
|
|
Text Classification (HP)
|
100% |
2004
2.67 KIPS |
|
|
Text Classification (Q)
|
92% |
1996
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1821
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2814
48.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2804
48.3 IPS |
