Microsoft Surface Laptop 7-U7 268V Microsoft Corporation Surface Laptop for Business 7th Edition with Intel
Geekbench AI Score
3138
Single Precision Score
27927
Half Precision Score
43835
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | pctest2014 |
| Upload Date | January 19 2026 11:42 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Microsoft Corporation Surface Laptop for Business 7th Edition with Intel |
| Motherboard | Microsoft Corporation Surface Laptop for Business 7th Edition with Intel |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 268V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1731
321.9 IPS |
|
|
Image Classification (HP)
|
100% |
14054
2.61 KIPS |
|
|
Image Classification (Q)
|
100% |
20367
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2098
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19975
323.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
33881
549.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3376
3.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
111794
130.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
247516
289.9 IPS |
|
|
Object Detection (SP)
|
100% |
1891
150.0 IPS |
|
|
Object Detection (HP)
|
100% |
15882
1.26 KIPS |
|
|
Object Detection (Q)
|
88% |
24931
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
5683
67.5 IPS |
|
|
Face Detection (HP)
|
100% |
36860
438.0 IPS |
|
|
Face Detection (Q)
|
100% |
63716
757.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4721
36.4 IPS |
|
|
Depth Estimation (HP)
|
92% |
79160
614.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
145839
1.13 KIPS |
|
|
Style Transfer (SP)
|
100% |
9978
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
245273
315.3 IPS |
|
|
Style Transfer (Q)
|
98% |
396007
510.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2143
79.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39382
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59975
2.22 KIPS |
|
|
Text Classification (SP)
|
100% |
2098
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
2810
3.75 KIPS |
|
|
Text Classification (Q)
|
92% |
3426
4.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3323
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7311
125.9 IPS |
|
|
Machine Translation (Q)
|
100% |
8137
140.2 IPS |
