Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
5017
Single Precision Score
7159
Half Precision Score
10933
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 04 2024 08:23 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% |
3357
624.4 IPS |
|
|
Image Classification (HP)
|
100% |
4770
887.1 IPS |
|
|
Image Classification (Q)
|
100% |
6369
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3699
60.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7369
119.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10283
166.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10813
12.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
10019
11.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
29478
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
3122
247.6 IPS |
|
|
Object Detection (HP)
|
100% |
4149
329.1 IPS |
|
|
Object Detection (Q)
|
88% |
6638
531.9 IPS |
|
|
Face Detection (SP)
|
100% |
7353
87.4 IPS |
|
|
Face Detection (HP)
|
100% |
13229
157.2 IPS |
|
|
Face Detection (Q)
|
100% |
20708
246.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11397
87.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
18309
141.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
21918
170.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26034
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36117
46.4 IPS |
|
|
Style Transfer (Q)
|
98% |
72035
92.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4630
171.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6750
249.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12697
470.2 IPS |
|
|
Text Classification (SP)
|
71% |
1469
2.12 KIPS |
|
|
Text Classification (HP)
|
71% |
1953
2.83 KIPS |
|
|
Text Classification (Q)
|
92% |
2138
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1626
28.0 IPS |
|
|
Machine Translation (HP)
|
96% |
2099
36.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2146
37.0 IPS |
