Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
1147
Single Precision Score
1146
Half Precision Score
2911
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 26 2024 10:42 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% |
749
139.3 IPS |
|
|
Image Classification (HP)
|
100% |
719
133.8 IPS |
|
|
Image Classification (Q)
|
100% |
1843
342.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
913
14.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1126
18.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2247
36.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1752
2.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
1346
1.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
5273
6.18 IPS |
|
|
Object Detection (SP)
|
100% |
423
33.6 IPS |
|
|
Object Detection (HP)
|
100% |
595
47.2 IPS |
|
|
Object Detection (Q)
|
88% |
1609
129.0 IPS |
|
|
Face Detection (SP)
|
100% |
2198
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
2224
26.4 IPS |
|
|
Face Detection (Q)
|
100% |
4890
58.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1973
15.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2274
17.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
6767
52.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6042
7.77 IPS |
|
|
Style Transfer (HP)
|
100% |
4216
5.42 IPS |
|
|
Style Transfer (Q)
|
98% |
15959
20.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1012
37.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
963
35.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2336
86.5 IPS |
|
|
Text Classification (SP)
|
100% |
297
395.8 IPS |
|
|
Text Classification (HP)
|
100% |
293
391.3 IPS |
|
|
Text Classification (Q)
|
92% |
1002
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
996
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1004
17.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1009
17.4 IPS |
