Microsoft Corporation Surface Laptop 2
Geekbench AI Score
1386
Single Precision Score
2069
Half Precision Score
1964
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | BulbousSum |
| Upload Date | February 06 2026 05:07 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 620 (iGPU) |
| 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% |
877
163.0 IPS |
|
|
Image Classification (HP)
|
100% |
1370
254.7 IPS |
|
|
Image Classification (Q)
|
100% |
1273
236.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
972
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1880
30.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1742
28.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2389
2.79 IPS |
|
|
Pose Estimation (HP)
|
99% |
2182
2.55 IPS |
|
|
Pose Estimation (Q)
|
97% |
3192
3.74 IPS |
|
|
Object Detection (SP)
|
100% |
847
67.2 IPS |
|
|
Object Detection (HP)
|
99% |
1482
117.9 IPS |
|
|
Object Detection (Q)
|
88% |
1386
111.1 IPS |
|
|
Face Detection (SP)
|
100% |
2398
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
4040
48.0 IPS |
|
|
Face Detection (Q)
|
97% |
3646
43.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2760
21.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
4715
36.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
4233
32.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6863
8.82 IPS |
|
|
Style Transfer (HP)
|
100% |
8625
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
7968
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1167
43.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1971
72.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1801
66.7 IPS |
|
|
Text Classification (SP)
|
71% |
383
553.4 IPS |
|
|
Text Classification (HP)
|
71% |
527
762.0 IPS |
|
|
Text Classification (Q)
|
92% |
384
515.8 IPS |
|
|
Machine Translation (SP)
|
100% |
751
12.9 IPS |
|
|
Machine Translation (HP)
|
99% |
1013
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1027
17.8 IPS |
