Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2223
Single Precision Score
2244
Half Precision Score
5685
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 01 2024 03:44 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% |
1292
240.2 IPS |
|
|
Image Classification (HP)
|
100% |
1297
241.2 IPS |
|
|
Image Classification (Q)
|
100% |
3735
694.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1729
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1751
28.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3136
50.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3412
3.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
3246
3.79 IPS |
|
|
Pose Estimation (Q)
|
96% |
11837
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1185
94.0 IPS |
|
|
Object Detection (HP)
|
100% |
1356
107.5 IPS |
|
|
Object Detection (Q)
|
88% |
3652
292.8 IPS |
|
|
Face Detection (SP)
|
100% |
3806
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
3735
44.4 IPS |
|
|
Face Detection (Q)
|
100% |
6225
74.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4035
31.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4045
31.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
9747
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9734
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9753
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
31602
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1856
68.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1869
69.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6265
232.0 IPS |
|
|
Text Classification (SP)
|
100% |
587
783.0 IPS |
|
|
Text Classification (HP)
|
100% |
598
798.4 IPS |
|
|
Text Classification (Q)
|
92% |
2832
3.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2007
34.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1971
34.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2050
35.3 IPS |
