Microsoft Corporation Surface Laptop for Business 7th Edition with Intel
Geekbench AI Score
476
Single Precision Score
305
Half Precision Score
1210
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | January 05 2026 11:28 PM |
| Views | 3 |
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% |
247
46.0 IPS |
|
|
Image Classification (HP)
|
100% |
181
33.7 IPS |
|
|
Image Classification (Q)
|
100% |
744
138.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
271
4.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
156
2.53 IPS |
|
|
Image Segmentation (Q)
|
99% |
714
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
554
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
367
0.43 IPS |
|
|
Pose Estimation (Q)
|
96% |
1769
2.07 IPS |
|
|
Object Detection (SP)
|
100% |
240
19.0 IPS |
|
|
Object Detection (HP)
|
100% |
167
13.3 IPS |
|
|
Object Detection (Q)
|
88% |
756
60.6 IPS |
|
|
Face Detection (SP)
|
100% |
770
9.15 IPS |
|
|
Face Detection (HP)
|
100% |
569
6.77 IPS |
|
|
Face Detection (Q)
|
100% |
1865
22.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
615
4.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
424
3.27 IPS |
|
|
Depth Estimation (Q)
|
89% |
1895
14.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1580
2.03 IPS |
|
|
Style Transfer (HP)
|
100% |
973
1.25 IPS |
|
|
Style Transfer (Q)
|
98% |
4891
6.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
521
19.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
184
6.78 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
982
36.4 IPS |
|
|
Text Classification (SP)
|
100% |
325
433.4 IPS |
|
|
Text Classification (HP)
|
100% |
222
296.7 IPS |
|
|
Text Classification (Q)
|
92% |
1046
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
536
9.24 IPS |
|
|
Machine Translation (HP)
|
100% |
423
7.28 IPS |
|
|
Machine Translation (Q)
|
100% |
537
9.25 IPS |
