Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2165
Single Precision Score
2162
Half Precision Score
5372
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 04 2024 08:26 PM |
| Views | 3 |
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% |
1226
227.9 IPS |
|
|
Image Classification (HP)
|
100% |
1256
233.5 IPS |
|
|
Image Classification (Q)
|
100% |
3574
664.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1778
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1784
28.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2212
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3436
4.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
3320
3.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
12180
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1234
97.9 IPS |
|
|
Object Detection (HP)
|
100% |
1258
99.8 IPS |
|
|
Object Detection (Q)
|
88% |
3395
272.1 IPS |
|
|
Face Detection (SP)
|
100% |
3798
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
3712
44.1 IPS |
|
|
Face Detection (Q)
|
100% |
7675
91.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3737
28.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3612
27.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
9329
72.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9781
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9896
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
32985
42.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1639
60.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1708
63.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5710
211.5 IPS |
|
|
Text Classification (SP)
|
100% |
589
785.7 IPS |
|
|
Text Classification (HP)
|
100% |
580
774.2 IPS |
|
|
Text Classification (Q)
|
92% |
2429
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1827
31.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1814
31.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1872
32.2 IPS |
