Microsoft Corporation Surface Laptop for Business 7th Edition with Intel
Geekbench AI Score
531
Single Precision Score
329
Half Precision Score
1322
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | January 05 2026 11:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 268V |
| 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 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% |
261
48.5 IPS |
|
|
Image Classification (HP)
|
100% |
171
31.8 IPS |
|
|
Image Classification (Q)
|
100% |
846
157.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
299
4.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
162
2.63 IPS |
|
|
Image Segmentation (Q)
|
99% |
744
12.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
702
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
529
0.62 IPS |
|
|
Pose Estimation (Q)
|
96% |
1854
2.17 IPS |
|
|
Object Detection (SP)
|
100% |
254
20.1 IPS |
|
|
Object Detection (HP)
|
100% |
168
13.3 IPS |
|
|
Object Detection (Q)
|
88% |
731
58.6 IPS |
|
|
Face Detection (SP)
|
100% |
775
9.20 IPS |
|
|
Face Detection (HP)
|
100% |
598
7.11 IPS |
|
|
Face Detection (Q)
|
100% |
1818
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
608
4.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
440
3.39 IPS |
|
|
Depth Estimation (Q)
|
89% |
1887
14.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1793
2.31 IPS |
|
|
Style Transfer (HP)
|
100% |
1254
1.61 IPS |
|
|
Style Transfer (Q)
|
98% |
5944
7.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
278
10.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
186
6.88 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
998
37.0 IPS |
|
|
Text Classification (SP)
|
100% |
997
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
229
306.1 IPS |
|
|
Text Classification (Q)
|
92% |
1721
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
548
9.44 IPS |
|
|
Machine Translation (HP)
|
100% |
442
7.61 IPS |
|
|
Machine Translation (Q)
|
100% |
546
9.41 IPS |
