Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2176
Single Precision Score
8228
Half Precision Score
12368
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | February 18 2025 04:12 AM |
| Views | 3 |
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% |
1329
247.1 IPS |
|
|
Image Classification (HP)
|
100% |
6022
1.12 KIPS |
|
|
Image Classification (Q)
|
100% |
8324
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1828
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2380
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3131
50.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3024
3.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
29590
34.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
64251
75.3 IPS |
|
|
Object Detection (SP)
|
100% |
1270
100.7 IPS |
|
|
Object Detection (HP)
|
100% |
5050
400.5 IPS |
|
|
Object Detection (Q)
|
87% |
7730
620.4 IPS |
|
|
Face Detection (SP)
|
100% |
3649
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
12566
149.3 IPS |
|
|
Face Detection (Q)
|
100% |
20264
240.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3745
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17043
131.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
31523
245.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8883
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
46020
59.2 IPS |
|
|
Style Transfer (Q)
|
98% |
83744
108.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1730
63.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12264
452.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21847
809.1 IPS |
|
|
Text Classification (SP)
|
100% |
634
846.2 IPS |
|
|
Text Classification (HP)
|
100% |
1965
2.62 KIPS |
|
|
Text Classification (Q)
|
92% |
1972
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1916
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2796
48.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2809
48.4 IPS |
