Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2226
Single Precision Score
8125
Half Precision Score
12177
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 01 2024 10:44 AM |
| Views | 3 |
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% |
1282
238.3 IPS |
|
|
Image Classification (HP)
|
100% |
5819
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
7906
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1782
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2289
37.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3057
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3419
3.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
29175
34.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
63378
74.2 IPS |
|
|
Object Detection (SP)
|
100% |
1326
105.2 IPS |
|
|
Object Detection (HP)
|
100% |
4964
393.7 IPS |
|
|
Object Detection (Q)
|
87% |
7672
615.7 IPS |
|
|
Face Detection (SP)
|
100% |
3622
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
12964
154.0 IPS |
|
|
Face Detection (Q)
|
100% |
20900
248.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3988
30.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
16949
130.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
30814
239.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10114
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
45979
59.1 IPS |
|
|
Style Transfer (Q)
|
98% |
82673
106.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1837
67.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12182
449.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21648
801.7 IPS |
|
|
Text Classification (SP)
|
100% |
637
850.0 IPS |
|
|
Text Classification (HP)
|
100% |
1894
2.53 KIPS |
|
|
Text Classification (Q)
|
92% |
1885
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1688
29.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2790
48.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2808
48.4 IPS |
