[2021] Laptop: Microsoft Surface Laptop SE [Model 2016-B] Microsoft Corporation Surface Laptop SE
Geekbench AI Score
194
Single Precision Score
254
Half Precision Score
157
Quantized Score
Geekbench AI 1.4.0 for Windows x86 (64-bit)
Result Information
| User | inc7007 |
| Upload Date | December 11 2025 02:59 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 600 |
| 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% |
50
9.29 IPS |
|
|
Image Classification (HP)
|
100% |
80
14.8 IPS |
|
|
Image Classification (Q)
|
100% |
45
8.37 IPS |
|
|
Image Segmentation (SP)
|
100% |
112
1.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
146
2.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
97
1.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
622
0.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
957
1.12 IPS |
|
|
Pose Estimation (Q)
|
97% |
554
0.65 IPS |
|
|
Object Detection (SP)
|
100% |
53
4.24 IPS |
|
|
Object Detection (HP)
|
98% |
91
7.20 IPS |
|
|
Object Detection (Q)
|
86% |
49
3.96 IPS |
|
|
Face Detection (SP)
|
100% |
227
2.69 IPS |
|
|
Face Detection (HP)
|
100% |
268
3.19 IPS |
|
|
Face Detection (Q)
|
97% |
192
2.29 IPS |
|
|
Depth Estimation (SP)
|
100% |
316
2.43 IPS |
|
|
Depth Estimation (HP)
|
98% |
436
3.37 IPS |
|
|
Depth Estimation (Q)
|
77% |
266
2.13 IPS |
|
|
Style Transfer (SP)
|
100% |
1729
2.22 IPS |
|
|
Style Transfer (HP)
|
100% |
2524
3.24 IPS |
|
|
Style Transfer (Q)
|
98% |
1386
1.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
317
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
457
16.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
226
8.38 IPS |
|
|
Text Classification (SP)
|
100% |
117
155.7 IPS |
|
|
Text Classification (HP)
|
100% |
87
115.9 IPS |
|
|
Text Classification (Q)
|
97% |
82
110.2 IPS |
|
|
Machine Translation (SP)
|
100% |
93
1.59 IPS |
|
|
Machine Translation (HP)
|
100% |
94
1.62 IPS |
|
|
Machine Translation (Q)
|
70% |
60
1.12 IPS |
