[2021] Laptop: Microsoft Surface Laptop SE [Model 2016-B] Microsoft Corporation Surface Laptop SE
Geekbench AI Score
204
Single Precision Score
119
Half Precision Score
395
Quantized Score
Geekbench AI 1.4.0 for Windows x86 (64-bit)
Result Information
| User | inc7007 |
| Upload Date | December 11 2025 02:26 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Celeron N4120 |
| 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% |
164
30.6 IPS |
|
|
Image Classification (HP)
|
100% |
68
12.6 IPS |
|
|
Image Classification (Q)
|
96% |
335
62.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
116
1.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
77
1.25 IPS |
|
|
Image Segmentation (Q)
|
97% |
373
6.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
239
0.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
177
0.21 IPS |
|
|
Pose Estimation (Q)
|
86% |
525
0.62 IPS |
|
|
Object Detection (SP)
|
100% |
121
9.60 IPS |
|
|
Object Detection (HP)
|
100% |
56
4.45 IPS |
|
|
Object Detection (Q)
|
58% |
190
20.7 IPS |
|
|
Face Detection (SP)
|
100% |
327
3.88 IPS |
|
|
Face Detection (HP)
|
100% |
143
1.70 IPS |
|
|
Face Detection (Q)
|
96% |
529
6.31 IPS |
|
|
Depth Estimation (SP)
|
100% |
326
2.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
169
1.30 IPS |
|
|
Depth Estimation (Q)
|
78% |
584
4.65 IPS |
|
|
Style Transfer (SP)
|
100% |
616
0.79 IPS |
|
|
Style Transfer (HP)
|
100% |
505
0.65 IPS |
|
|
Style Transfer (Q)
|
87% |
922
1.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
134
4.93 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
98
3.63 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
311
11.5 IPS |
|
|
Text Classification (SP)
|
100% |
120
160.2 IPS |
|
|
Text Classification (HP)
|
100% |
100
133.6 IPS |
|
|
Text Classification (Q)
|
97% |
255
342.0 IPS |
|
|
Machine Translation (SP)
|
100% |
216
3.72 IPS |
|
|
Machine Translation (HP)
|
100% |
98
1.69 IPS |
|
|
Machine Translation (Q)
|
68% |
335
6.46 IPS |
