Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2191
Single Precision Score
2183
Half Precision Score
5722
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 29 2024 12:08 PM |
| Views | 4 |
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% |
1282
238.4 IPS |
|
|
Image Classification (HP)
|
100% |
1275
237.0 IPS |
|
|
Image Classification (Q)
|
100% |
3601
669.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1801
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1815
29.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3600
58.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3186
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
3217
3.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
11699
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1284
101.8 IPS |
|
|
Object Detection (HP)
|
100% |
1302
103.3 IPS |
|
|
Object Detection (Q)
|
88% |
3570
286.2 IPS |
|
|
Face Detection (SP)
|
100% |
3699
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
3749
44.5 IPS |
|
|
Face Detection (Q)
|
100% |
7760
92.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3841
29.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3825
29.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
9605
74.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9083
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9145
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
33349
43.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1794
66.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1735
64.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5960
220.7 IPS |
|
|
Text Classification (SP)
|
100% |
606
808.3 IPS |
|
|
Text Classification (HP)
|
100% |
583
778.8 IPS |
|
|
Text Classification (Q)
|
92% |
2435
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1924
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1912
32.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1928
33.2 IPS |
