Microsoft Corporation Surface Laptop for Business 7th Edition with Intel
Geekbench AI Score
2601
Single Precision Score
24345
Half Precision Score
36161
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | February 06 2026 11:49 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1931
359.2 IPS |
|
|
Image Classification (HP)
|
100% |
16041
2.98 KIPS |
|
|
Image Classification (Q)
|
100% |
21630
4.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1683
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
17865
289.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
27821
451.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2717
3.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
107153
125.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
223888
262.3 IPS |
|
|
Object Detection (SP)
|
100% |
1502
119.1 IPS |
|
|
Object Detection (HP)
|
100% |
12447
987.3 IPS |
|
|
Object Detection (Q)
|
88% |
16699
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
4373
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
31868
378.7 IPS |
|
|
Face Detection (Q)
|
100% |
67064
796.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3739
28.8 IPS |
|
|
Depth Estimation (HP)
|
92% |
72651
563.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
115261
897.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8062
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
212556
273.2 IPS |
|
|
Style Transfer (Q)
|
98% |
321696
414.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1690
62.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26025
961.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35739
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
1738
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
2889
3.86 KIPS |
|
|
Text Classification (Q)
|
92% |
3164
4.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2770
47.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5172
89.1 IPS |
|
|
Machine Translation (Q)
|
100% |
6044
104.1 IPS |
