Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
1900
Single Precision Score
1989
Half Precision Score
4855
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 08 2024 12:55 PM |
| Views | 3 |
| Notes | Perfect 10 |
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% |
1171
217.8 IPS |
|
|
Image Classification (HP)
|
100% |
1248
232.0 IPS |
|
|
Image Classification (Q)
|
100% |
3422
636.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1592
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1784
28.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2182
35.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2992
3.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
2737
3.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
11855
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1152
91.4 IPS |
|
|
Object Detection (HP)
|
100% |
1104
87.5 IPS |
|
|
Object Detection (Q)
|
88% |
3449
276.5 IPS |
|
|
Face Detection (SP)
|
100% |
3475
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
3777
44.9 IPS |
|
|
Face Detection (Q)
|
100% |
6260
74.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2887
22.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3476
26.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
8672
67.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7609
9.78 IPS |
|
|
Style Transfer (HP)
|
100% |
8834
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
31096
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1782
65.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1488
54.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6033
223.4 IPS |
|
|
Text Classification (SP)
|
100% |
539
719.9 IPS |
|
|
Text Classification (HP)
|
100% |
522
696.9 IPS |
|
|
Text Classification (Q)
|
92% |
1347
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1304
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1600
27.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1739
30.0 IPS |
