Microsoft Corporation Surface Laptop for Business 7th Edition with Intel
Geekbench AI Score
2710
Single Precision Score
1835
Half Precision Score
7081
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | oldnick |
| Upload Date | January 30 2026 08:37 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 236V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Laptop for Business 7th Edition with Intel |
| Motherboard | Microsoft Corporation Surface Laptop for Business 7th Edition with Intel |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 236V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1582
294.3 IPS |
|
|
Image Classification (HP)
|
100% |
1147
213.3 IPS |
|
|
Image Classification (Q)
|
100% |
4520
840.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2032
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
949
15.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4694
76.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2950
3.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
1912
2.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
11153
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1505
119.4 IPS |
|
|
Object Detection (HP)
|
100% |
1085
86.1 IPS |
|
|
Object Detection (Q)
|
88% |
4590
367.9 IPS |
|
|
Face Detection (SP)
|
100% |
4628
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
3599
42.8 IPS |
|
|
Face Detection (Q)
|
100% |
11711
139.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4052
31.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2756
21.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
11957
93.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8699
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
5575
7.17 IPS |
|
|
Style Transfer (Q)
|
98% |
32053
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1805
66.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1234
45.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6492
240.4 IPS |
|
|
Text Classification (SP)
|
100% |
1860
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
1220
1.63 KIPS |
|
|
Text Classification (Q)
|
92% |
3771
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2734
47.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2312
39.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2659
45.8 IPS |
