Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2189
Single Precision Score
7835
Half Precision Score
11736
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 27 2024 09:16 PM |
| 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% |
1163
216.3 IPS |
|
|
Image Classification (HP)
|
100% |
5610
1.04 KIPS |
|
|
Image Classification (Q)
|
100% |
7495
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1716
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2275
36.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3018
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3350
3.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
29327
34.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
63250
74.1 IPS |
|
|
Object Detection (SP)
|
100% |
1259
99.9 IPS |
|
|
Object Detection (HP)
|
100% |
4657
369.4 IPS |
|
|
Object Detection (Q)
|
87% |
7024
563.8 IPS |
|
|
Face Detection (SP)
|
100% |
3337
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
11760
139.7 IPS |
|
|
Face Detection (Q)
|
100% |
20198
240.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3636
28.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
16567
127.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
30398
236.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10070
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
45361
58.3 IPS |
|
|
Style Transfer (Q)
|
98% |
81450
105.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1836
67.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11980
442.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20645
764.6 IPS |
|
|
Text Classification (SP)
|
100% |
638
851.4 IPS |
|
|
Text Classification (HP)
|
100% |
1757
2.35 KIPS |
|
|
Text Classification (Q)
|
92% |
1770
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2103
36.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2689
46.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2701
46.5 IPS |
