Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
1816
Single Precision Score
7515
Half Precision Score
11129
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | February 14 2025 09:21 AM |
| 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 | 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% |
1232
229.1 IPS |
|
|
Image Classification (HP)
|
100% |
5569
1.04 KIPS |
|
|
Image Classification (Q)
|
100% |
7534
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1530
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2365
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3016
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2935
3.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
29230
34.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
62699
73.4 IPS |
|
|
Object Detection (SP)
|
100% |
1071
85.0 IPS |
|
|
Object Detection (HP)
|
100% |
4596
364.5 IPS |
|
|
Object Detection (Q)
|
87% |
6886
552.7 IPS |
|
|
Face Detection (SP)
|
100% |
2972
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
11362
135.0 IPS |
|
|
Face Detection (Q)
|
100% |
17387
206.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3055
23.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15637
120.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
29670
230.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6772
8.71 IPS |
|
|
Style Transfer (HP)
|
100% |
45455
58.4 IPS |
|
|
Style Transfer (Q)
|
98% |
79016
101.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1486
54.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11672
431.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20000
740.7 IPS |
|
|
Text Classification (SP)
|
100% |
485
647.5 IPS |
|
|
Text Classification (HP)
|
100% |
1739
2.32 KIPS |
|
|
Text Classification (Q)
|
92% |
1731
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1486
25.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1982
34.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2106
36.3 IPS |
