Microsoft Corporation Surface Laptop 2
Geekbench AI Score
886
Single Precision Score
1019
Half Precision Score
720
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | BulbousSum |
| Upload Date | February 06 2026 04:48 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 620 |
| 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% |
387
71.9 IPS |
|
|
Image Classification (HP)
|
100% |
432
80.4 IPS |
|
|
Image Classification (Q)
|
100% |
397
73.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
563
9.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
571
9.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
471
7.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
2253
2.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
3568
4.16 IPS |
|
|
Pose Estimation (Q)
|
97% |
2035
2.38 IPS |
|
|
Object Detection (SP)
|
100% |
474
37.6 IPS |
|
|
Object Detection (HP)
|
98% |
472
37.6 IPS |
|
|
Object Detection (Q)
|
86% |
434
34.9 IPS |
|
|
Face Detection (SP)
|
100% |
760
9.03 IPS |
|
|
Face Detection (HP)
|
100% |
1032
12.3 IPS |
|
|
Face Detection (Q)
|
97% |
685
8.17 IPS |
|
|
Depth Estimation (SP)
|
100% |
1574
12.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2088
16.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
1343
10.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5343
6.87 IPS |
|
|
Style Transfer (HP)
|
100% |
8237
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
4701
6.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1133
41.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1572
58.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
857
31.7 IPS |
|
|
Text Classification (SP)
|
100% |
424
566.5 IPS |
|
|
Text Classification (HP)
|
100% |
229
305.3 IPS |
|
|
Text Classification (Q)
|
97% |
241
322.5 IPS |
|
|
Machine Translation (SP)
|
100% |
421
7.25 IPS |
|
|
Machine Translation (HP)
|
100% |
456
7.85 IPS |
|
|
Machine Translation (Q)
|
70% |
254
4.77 IPS |
