Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2270
Single Precision Score
2222
Half Precision Score
5734
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 25 2024 08:57 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% |
1297
241.2 IPS |
|
|
Image Classification (HP)
|
100% |
1308
243.3 IPS |
|
|
Image Classification (Q)
|
100% |
3781
703.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1861
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1857
30.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3683
59.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3478
4.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
3236
3.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
12079
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1334
105.8 IPS |
|
|
Object Detection (HP)
|
100% |
1352
107.2 IPS |
|
|
Object Detection (Q)
|
88% |
3738
299.6 IPS |
|
|
Face Detection (SP)
|
100% |
3955
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
3948
46.9 IPS |
|
|
Face Detection (Q)
|
100% |
8152
96.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4095
31.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4093
31.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
8790
68.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9643
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9249
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
31910
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1772
65.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1822
67.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6182
228.9 IPS |
|
|
Text Classification (SP)
|
100% |
620
828.2 IPS |
|
|
Text Classification (HP)
|
100% |
620
827.8 IPS |
|
|
Text Classification (Q)
|
92% |
2648
3.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1894
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1638
28.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1634
28.1 IPS |
