Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2068
Single Precision Score
2020
Half Precision Score
5367
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 28 2024 11:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 135U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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% |
1147
213.3 IPS |
|
|
Image Classification (HP)
|
100% |
842
156.6 IPS |
|
|
Image Classification (Q)
|
100% |
3755
698.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1831
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1825
29.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3586
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3492
4.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
3455
4.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
9810
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
870
69.0 IPS |
|
|
Object Detection (HP)
|
100% |
835
66.3 IPS |
|
|
Object Detection (Q)
|
88% |
2225
178.4 IPS |
|
|
Face Detection (SP)
|
100% |
3091
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
3812
45.3 IPS |
|
|
Face Detection (Q)
|
100% |
7922
94.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4033
31.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4059
31.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
9702
75.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10158
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9975
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
33837
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1728
63.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1608
59.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5296
196.1 IPS |
|
|
Text Classification (SP)
|
100% |
548
731.1 IPS |
|
|
Text Classification (HP)
|
100% |
555
741.1 IPS |
|
|
Text Classification (Q)
|
92% |
2665
3.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1875
32.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1860
32.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1839
31.7 IPS |
