Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2236
Single Precision Score
2196
Half Precision Score
5741
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 29 2024 02:04 AM |
| 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% |
1237
230.1 IPS |
|
|
Image Classification (HP)
|
100% |
1219
226.8 IPS |
|
|
Image Classification (Q)
|
100% |
3712
690.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1817
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1811
29.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3495
56.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3502
4.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
3463
4.04 IPS |
|
|
Pose Estimation (Q)
|
96% |
12308
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1296
102.8 IPS |
|
|
Object Detection (HP)
|
100% |
1180
93.6 IPS |
|
|
Object Detection (Q)
|
88% |
3557
285.1 IPS |
|
|
Face Detection (SP)
|
100% |
3830
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
3606
42.8 IPS |
|
|
Face Detection (Q)
|
100% |
7902
93.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4020
31.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3988
30.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
9581
74.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10093
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10133
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
34163
44.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1848
68.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1731
63.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6184
229.0 IPS |
|
|
Text Classification (SP)
|
100% |
572
763.6 IPS |
|
|
Text Classification (HP)
|
100% |
615
821.3 IPS |
|
|
Text Classification (Q)
|
92% |
2488
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1867
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1868
32.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1723
29.7 IPS |
