Microsoft Surface Laptop7-U7 268V Microsoft Corporation Surface Laptop for Business 7th Edition with Intel
Geekbench AI Score
3168
Single Precision Score
30586
Half Precision Score
49419
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | pctest2014 |
| Upload Date | January 06 2026 11:02 AM |
| Views | 11 |
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% |
1963
365.0 IPS |
|
|
Image Classification (HP)
|
100% |
16238
3.02 KIPS |
|
|
Image Classification (Q)
|
100% |
20178
3.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20024
324.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32605
528.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3386
3.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
114170
133.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
249235
292.0 IPS |
|
|
Object Detection (SP)
|
100% |
1885
149.6 IPS |
|
|
Object Detection (HP)
|
100% |
18800
1.49 KIPS |
|
|
Object Detection (Q)
|
88% |
27528
2.21 KIPS |
|
|
Face Detection (SP)
|
100% |
5686
67.6 IPS |
|
|
Face Detection (HP)
|
100% |
41300
490.7 IPS |
|
|
Face Detection (Q)
|
100% |
101274
1.20 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4737
36.5 IPS |
|
|
Depth Estimation (HP)
|
92% |
84377
654.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
155938
1.21 KIPS |
|
|
Style Transfer (SP)
|
100% |
9918
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
244698
314.6 IPS |
|
|
Style Transfer (Q)
|
98% |
390692
503.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2040
75.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43434
1.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
75317
2.79 KIPS |
|
|
Text Classification (SP)
|
100% |
2106
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
3123
4.17 KIPS |
|
|
Text Classification (Q)
|
92% |
3999
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3329
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8879
152.9 IPS |
|
|
Machine Translation (Q)
|
100% |
10359
178.4 IPS |
