Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
4185
Single Precision Score
6456
Half Precision Score
9275
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 26 2024 10:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3229
600.6 IPS |
|
|
Image Classification (HP)
|
100% |
4432
824.3 IPS |
|
|
Image Classification (Q)
|
100% |
5281
982.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2705
43.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6785
110.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8671
140.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10211
11.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
9553
11.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
28300
33.1 IPS |
|
|
Object Detection (SP)
|
100% |
2852
226.2 IPS |
|
|
Object Detection (HP)
|
100% |
4231
335.6 IPS |
|
|
Object Detection (Q)
|
88% |
6133
491.5 IPS |
|
|
Face Detection (SP)
|
100% |
5981
71.1 IPS |
|
|
Face Detection (HP)
|
100% |
12303
146.2 IPS |
|
|
Face Detection (Q)
|
100% |
17696
210.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7590
58.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
17621
136.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
20794
161.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25208
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
31132
40.0 IPS |
|
|
Style Transfer (Q)
|
98% |
67531
87.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4235
156.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7546
278.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10786
399.4 IPS |
|
|
Text Classification (SP)
|
71% |
1070
1.55 KIPS |
|
|
Text Classification (HP)
|
71% |
1377
1.99 KIPS |
|
|
Text Classification (Q)
|
92% |
1488
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1251
21.5 IPS |
|
|
Machine Translation (HP)
|
96% |
1476
25.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1487
25.6 IPS |
