Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2126
Single Precision Score
2155
Half Precision Score
5443
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | February 15 2025 05:16 AM |
| Views | 3 |
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 | 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% |
1304
242.4 IPS |
|
|
Image Classification (HP)
|
100% |
1308
243.3 IPS |
|
|
Image Classification (Q)
|
100% |
3431
638.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1584
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1599
25.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3171
51.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3056
3.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
3041
3.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
11394
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1345
106.7 IPS |
|
|
Object Detection (HP)
|
100% |
1340
106.3 IPS |
|
|
Object Detection (Q)
|
88% |
3395
272.2 IPS |
|
|
Face Detection (SP)
|
100% |
3694
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
3844
45.7 IPS |
|
|
Face Detection (Q)
|
100% |
7936
94.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3885
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3891
30.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
9807
76.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8827
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8788
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
31055
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1750
64.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1751
64.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6038
223.6 IPS |
|
|
Text Classification (SP)
|
100% |
592
789.7 IPS |
|
|
Text Classification (HP)
|
100% |
638
851.0 IPS |
|
|
Text Classification (Q)
|
92% |
2084
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1694
29.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1729
29.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1784
30.7 IPS |
