Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
1999
Single Precision Score
2021
Half Precision Score
5228
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | January 16 2025 03:04 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 135U |
| 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% |
1213
225.5 IPS |
|
|
Image Classification (HP)
|
100% |
1192
221.7 IPS |
|
|
Image Classification (Q)
|
100% |
3110
578.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1692
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1691
27.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3523
57.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3251
3.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
2727
3.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
12043
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1105
87.7 IPS |
|
|
Object Detection (HP)
|
100% |
1168
92.6 IPS |
|
|
Object Detection (Q)
|
88% |
3170
254.1 IPS |
|
|
Face Detection (SP)
|
100% |
2891
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
3489
41.5 IPS |
|
|
Face Detection (Q)
|
100% |
7815
92.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3791
29.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3911
30.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
9820
76.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7863
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9067
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
30805
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1677
61.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1572
58.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6107
226.2 IPS |
|
|
Text Classification (SP)
|
100% |
618
824.6 IPS |
|
|
Text Classification (HP)
|
100% |
655
873.7 IPS |
|
|
Text Classification (Q)
|
92% |
1649
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1553
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1392
24.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1533
26.4 IPS |
