Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2159
Single Precision Score
2122
Half Precision Score
5221
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 09 2024 06:00 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% |
1224
227.7 IPS |
|
|
Image Classification (HP)
|
100% |
1234
229.5 IPS |
|
|
Image Classification (Q)
|
100% |
3417
635.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1728
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1742
28.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2824
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3306
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
3149
3.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
11122
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1265
100.3 IPS |
|
|
Object Detection (HP)
|
100% |
1062
84.3 IPS |
|
|
Object Detection (Q)
|
88% |
3337
267.5 IPS |
|
|
Face Detection (SP)
|
100% |
3682
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
3678
43.7 IPS |
|
|
Face Detection (Q)
|
100% |
5930
70.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3881
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3851
29.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
9335
72.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9680
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9742
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
30765
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1704
62.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1766
65.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5695
210.9 IPS |
|
|
Text Classification (SP)
|
100% |
572
763.8 IPS |
|
|
Text Classification (HP)
|
100% |
578
771.5 IPS |
|
|
Text Classification (Q)
|
92% |
2397
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1847
31.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1831
31.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1808
31.1 IPS |
