Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2115
Single Precision Score
2159
Half Precision Score
5501
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 05 2024 02:23 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% |
1231
229.0 IPS |
|
|
Image Classification (HP)
|
100% |
1133
210.7 IPS |
|
|
Image Classification (Q)
|
100% |
3473
645.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1783
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1779
28.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3467
56.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3197
3.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
3133
3.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
11740
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1105
87.7 IPS |
|
|
Object Detection (HP)
|
100% |
1302
103.3 IPS |
|
|
Object Detection (Q)
|
88% |
3363
269.6 IPS |
|
|
Face Detection (SP)
|
100% |
3750
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
3767
44.8 IPS |
|
|
Face Detection (Q)
|
100% |
7622
90.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3738
28.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3946
30.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
9349
72.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9043
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9796
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
29261
37.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1700
62.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1778
65.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5836
216.1 IPS |
|
|
Text Classification (SP)
|
100% |
568
757.9 IPS |
|
|
Text Classification (HP)
|
100% |
566
755.2 IPS |
|
|
Text Classification (Q)
|
92% |
2367
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1895
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1827
31.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1854
31.9 IPS |
