Microsoft Corporation Surface Laptop for Business 7th Edition with Intel
Geekbench AI Score
2552
Single Precision Score
1673
Half Precision Score
6517
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | April 16 2026 03:50 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% |
1835
341.3 IPS |
|
|
Image Classification (HP)
|
100% |
1048
194.9 IPS |
|
|
Image Classification (Q)
|
100% |
4161
773.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1662
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
845
13.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3839
62.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2676
3.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
1739
2.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
10200
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1477
117.2 IPS |
|
|
Object Detection (HP)
|
100% |
976
77.4 IPS |
|
|
Object Detection (Q)
|
88% |
4310
345.5 IPS |
|
|
Face Detection (SP)
|
100% |
4329
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
3268
38.8 IPS |
|
|
Face Detection (Q)
|
100% |
10594
125.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3706
28.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2484
19.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
11365
88.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7913
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
5058
6.50 IPS |
|
|
Style Transfer (Q)
|
98% |
29024
37.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1668
61.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1119
41.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6011
222.6 IPS |
|
|
Text Classification (SP)
|
100% |
1702
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
1125
1.50 KIPS |
|
|
Text Classification (Q)
|
92% |
3465
4.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2704
46.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2213
38.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2706
46.6 IPS |
