Microsoft Corporation Surface Laptop for Business 7th Edition with Intel
Geekbench AI Score
3246
Single Precision Score
2194
Half Precision Score
8385
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | February 07 2026 08:42 AM |
| 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% |
1930
358.9 IPS |
|
|
Image Classification (HP)
|
100% |
1372
255.2 IPS |
|
|
Image Classification (Q)
|
100% |
5286
983.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2180
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1121
18.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5103
82.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3492
4.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
2268
2.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
13201
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1884
149.4 IPS |
|
|
Object Detection (HP)
|
100% |
1310
103.9 IPS |
|
|
Object Detection (Q)
|
88% |
5461
437.8 IPS |
|
|
Face Detection (SP)
|
100% |
5728
68.1 IPS |
|
|
Face Detection (HP)
|
100% |
4347
51.7 IPS |
|
|
Face Detection (Q)
|
100% |
13786
163.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4812
37.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3269
25.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
14481
112.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10388
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6648
8.55 IPS |
|
|
Style Transfer (Q)
|
98% |
37659
48.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2170
80.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1468
54.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7765
287.5 IPS |
|
|
Text Classification (SP)
|
100% |
2179
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
1433
1.91 KIPS |
|
|
Text Classification (Q)
|
92% |
4396
5.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3474
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2858
49.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3446
59.4 IPS |
