Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
1843
Single Precision Score
1836
Half Precision Score
4365
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 07 2024 05:16 AM |
| 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% |
1096
203.8 IPS |
|
|
Image Classification (HP)
|
100% |
1076
200.1 IPS |
|
|
Image Classification (Q)
|
100% |
2660
494.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1664
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1654
26.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3300
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2598
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2537
2.96 IPS |
|
|
Pose Estimation (Q)
|
96% |
10048
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1120
88.8 IPS |
|
|
Object Detection (HP)
|
100% |
1158
91.8 IPS |
|
|
Object Detection (Q)
|
88% |
2814
225.5 IPS |
|
|
Face Detection (SP)
|
100% |
3342
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
3217
38.2 IPS |
|
|
Face Detection (Q)
|
100% |
6956
82.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3365
25.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3024
23.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
6404
49.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7013
9.02 IPS |
|
|
Style Transfer (HP)
|
100% |
7179
9.23 IPS |
|
|
Style Transfer (Q)
|
98% |
29846
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1411
52.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1463
54.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4838
179.2 IPS |
|
|
Text Classification (SP)
|
100% |
517
689.5 IPS |
|
|
Text Classification (HP)
|
100% |
520
693.5 IPS |
|
|
Text Classification (Q)
|
92% |
1805
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1483
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1572
27.1 IPS |
|
|
Machine Translation (Q)
|
100% |
872
15.0 IPS |
