Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2180
Single Precision Score
8100
Half Precision Score
12176
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | February 15 2025 05:03 AM |
| Views | 10 |
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 | 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% |
1277
237.5 IPS |
|
|
Image Classification (HP)
|
100% |
5733
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
7813
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1785
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2383
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3156
51.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3155
3.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
29687
34.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
64385
75.4 IPS |
|
|
Object Detection (SP)
|
100% |
1305
103.5 IPS |
|
|
Object Detection (HP)
|
100% |
4986
395.5 IPS |
|
|
Object Detection (Q)
|
87% |
7640
613.1 IPS |
|
|
Face Detection (SP)
|
100% |
3730
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
12994
154.4 IPS |
|
|
Face Detection (Q)
|
100% |
20763
246.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3640
28.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
16928
130.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
31084
241.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8989
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
45408
58.4 IPS |
|
|
Style Transfer (Q)
|
98% |
82257
106.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1772
65.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12107
447.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21698
803.6 IPS |
|
|
Text Classification (SP)
|
100% |
623
831.0 IPS |
|
|
Text Classification (HP)
|
100% |
1858
2.48 KIPS |
|
|
Text Classification (Q)
|
92% |
1843
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1918
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2678
46.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2783
47.9 IPS |
