[2021] Laptop: Microsoft Surface Laptop SE [Model 2016-B] Microsoft Corporation Surface Laptop SE
Geekbench AI Score
307
Single Precision Score
462
Half Precision Score
477
Quantized Score
Geekbench AI 1.4.0 for Windows x86 (64-bit)
Result Information
| User | inc7007 |
| Upload Date | December 11 2025 09:24 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 600 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Laptop SE |
| Motherboard | Microsoft Corporation Surface Laptop SE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Celeron N4120 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 122 Stepping 8 |
| Base Frequency | 1.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
206
38.4 IPS |
|
|
Image Classification (HP)
|
100% |
240
44.6 IPS |
|
|
Image Classification (Q)
|
100% |
219
40.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
194
3.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
326
5.29 IPS |
|
|
Image Segmentation (Q)
|
99% |
315
5.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
571
0.67 IPS |
|
|
Pose Estimation (HP)
|
99% |
631
0.74 IPS |
|
|
Pose Estimation (Q)
|
97% |
1052
1.23 IPS |
|
|
Object Detection (SP)
|
100% |
172
13.7 IPS |
|
|
Object Detection (HP)
|
99% |
303
24.1 IPS |
|
|
Object Detection (Q)
|
88% |
288
23.1 IPS |
|
|
Face Detection (SP)
|
100% |
557
6.61 IPS |
|
|
Face Detection (HP)
|
100% |
919
10.9 IPS |
|
|
Face Detection (Q)
|
97% |
912
10.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
656
5.06 IPS |
|
|
Depth Estimation (HP)
|
98% |
778
6.01 IPS |
|
|
Depth Estimation (Q)
|
89% |
864
6.72 IPS |
|
|
Style Transfer (SP)
|
100% |
1544
1.98 IPS |
|
|
Style Transfer (HP)
|
100% |
1837
2.36 IPS |
|
|
Style Transfer (Q)
|
98% |
2072
2.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
207
7.65 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
475
17.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
428
15.9 IPS |
|
|
Text Classification (SP)
|
71% |
136
196.4 IPS |
|
|
Text Classification (HP)
|
71% |
176
254.0 IPS |
|
|
Text Classification (Q)
|
92% |
159
213.7 IPS |
|
|
Machine Translation (SP)
|
100% |
122
2.10 IPS |
|
|
Machine Translation (HP)
|
99% |
273
4.71 IPS |
|
|
Machine Translation (Q)
|
98% |
263
4.54 IPS |
