Microsoft Corporation Surface Laptop 2
Geekbench AI Score
1315
Single Precision Score
642
Half Precision Score
1809
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | BulbousSum |
| Upload Date | February 06 2026 04:35 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8250U |
| 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% |
1014
188.6 IPS |
|
|
Image Classification (HP)
|
100% |
234
43.6 IPS |
|
|
Image Classification (Q)
|
96% |
1352
252.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
485
7.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
369
5.99 IPS |
|
|
Image Segmentation (Q)
|
97% |
1631
26.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2047
2.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1576
1.84 IPS |
|
|
Pose Estimation (Q)
|
86% |
3308
3.91 IPS |
|
|
Object Detection (SP)
|
100% |
925
73.4 IPS |
|
|
Object Detection (HP)
|
100% |
304
24.1 IPS |
|
|
Object Detection (Q)
|
58% |
983
107.4 IPS |
|
|
Face Detection (SP)
|
100% |
1793
21.3 IPS |
|
|
Face Detection (HP)
|
100% |
670
7.96 IPS |
|
|
Face Detection (Q)
|
96% |
2568
30.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2441
18.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
902
6.95 IPS |
|
|
Depth Estimation (Q)
|
78% |
3288
26.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4942
6.35 IPS |
|
|
Style Transfer (HP)
|
100% |
3643
4.68 IPS |
|
|
Style Transfer (Q)
|
87% |
5957
7.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
965
35.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
787
29.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1546
57.3 IPS |
|
|
Text Classification (SP)
|
100% |
767
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
418
557.8 IPS |
|
|
Text Classification (Q)
|
97% |
630
844.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1038
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
403
6.94 IPS |
|
|
Machine Translation (Q)
|
68% |
1071
20.7 IPS |
