Microsoft Corporation Surface Laptop 2
Geekbench AI Score
1125
Single Precision Score
1146
Half Precision Score
1793
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | BulbousSum |
| Upload Date | February 06 2026 04:52 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-8250U CPU @ 1.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Laptop 2 |
| Motherboard | Microsoft Corporation Surface Laptop 2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8250U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
644
119.7 IPS |
|
|
Image Classification (HP)
|
100% |
612
113.7 IPS |
|
|
Image Classification (Q)
|
100% |
928
172.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
615
9.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
518
8.40 IPS |
|
|
Image Segmentation (Q)
|
99% |
995
16.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1249
1.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
1359
1.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
2752
3.23 IPS |
|
|
Object Detection (SP)
|
100% |
541
42.9 IPS |
|
|
Object Detection (HP)
|
100% |
612
48.6 IPS |
|
|
Object Detection (Q)
|
87% |
899
72.1 IPS |
|
|
Face Detection (SP)
|
100% |
1867
22.2 IPS |
|
|
Face Detection (HP)
|
100% |
1637
19.4 IPS |
|
|
Face Detection (Q)
|
97% |
3462
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1739
13.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1968
15.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
3817
30.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5139
6.61 IPS |
|
|
Style Transfer (HP)
|
100% |
5051
6.49 IPS |
|
|
Style Transfer (Q)
|
98% |
9952
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1039
38.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1074
39.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1955
72.4 IPS |
|
|
Text Classification (SP)
|
100% |
586
782.2 IPS |
|
|
Text Classification (HP)
|
100% |
552
737.2 IPS |
|
|
Text Classification (Q)
|
91% |
459
617.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1203
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1543
26.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1274
22.0 IPS |
