Microsoft Corporation Surface Laptop for Business 7th Edition with Intel
Geekbench AI Score
2907
Single Precision Score
1915
Half Precision Score
7350
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | February 06 2026 11:47 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% |
1906
354.5 IPS |
|
|
Image Classification (HP)
|
100% |
1372
255.1 IPS |
|
|
Image Classification (Q)
|
100% |
5264
979.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2170
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1117
18.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5028
81.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3478
4.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
2265
2.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
13201
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1870
148.3 IPS |
|
|
Object Detection (HP)
|
100% |
1308
103.7 IPS |
|
|
Object Detection (Q)
|
88% |
5442
436.3 IPS |
|
|
Face Detection (SP)
|
100% |
5413
64.3 IPS |
|
|
Face Detection (HP)
|
100% |
4115
48.9 IPS |
|
|
Face Detection (Q)
|
100% |
13749
163.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4770
36.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2500
19.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
10718
83.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7984
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
5099
6.55 IPS |
|
|
Style Transfer (Q)
|
98% |
29030
37.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1680
62.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1124
41.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6067
224.7 IPS |
|
|
Text Classification (SP)
|
100% |
1705
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
1125
1.50 KIPS |
|
|
Text Classification (Q)
|
92% |
3429
4.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2718
46.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2204
38.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2720
46.9 IPS |
