Microsoft Surface Laptop 7th -U5 238V Microsoft Corporation Surface Laptop for Business 7th Edition with Intel
Geekbench AI Score
2733
Single Precision Score
25919
Half Precision Score
43122
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | pctest2014 |
| Upload Date | January 19 2026 11:45 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Microsoft Corporation Surface Laptop for Business 7th Edition with Intel |
| Motherboard | Microsoft Corporation Surface Laptop for Business 7th Edition with Intel |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 238V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1682
312.8 IPS |
|
|
Image Classification (HP)
|
100% |
16650
3.10 KIPS |
|
|
Image Classification (Q)
|
100% |
22991
4.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1853
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15598
252.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
25241
409.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2912
3.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
84011
98.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
189975
222.5 IPS |
|
|
Object Detection (SP)
|
100% |
1589
126.0 IPS |
|
|
Object Detection (HP)
|
100% |
16146
1.28 KIPS |
|
|
Object Detection (Q)
|
88% |
25924
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4789
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
40064
476.1 IPS |
|
|
Face Detection (Q)
|
100% |
96430
1.15 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4017
30.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
78137
604.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
150060
1.17 KIPS |
|
|
Style Transfer (SP)
|
100% |
8674
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
201509
259.0 IPS |
|
|
Style Transfer (Q)
|
98% |
336455
433.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1862
68.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27807
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
64063
2.37 KIPS |
|
|
Text Classification (SP)
|
100% |
1855
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
3465
4.63 KIPS |
|
|
Text Classification (Q)
|
92% |
3622
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2799
48.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6391
110.1 IPS |
|
|
Machine Translation (Q)
|
100% |
6887
118.6 IPS |
