Microsoft Corporation Surface Laptop Studio 2
Geekbench AI Score
2343
Single Precision Score
2235
Half Precision Score
5149
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 29 2025 09:55 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Microsoft Corporation Surface Laptop Studio 2 |
| Motherboard | Microsoft Corporation Surface Laptop Studio 2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13800H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1378
256.3 IPS |
|
|
Image Classification (HP)
|
100% |
1374
255.5 IPS |
|
|
Image Classification (Q)
|
100% |
3475
646.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1987
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1337
21.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2461
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2397
2.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
2975
3.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
10682
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
1442
114.3 IPS |
|
|
Object Detection (HP)
|
100% |
1413
112.1 IPS |
|
|
Object Detection (Q)
|
88% |
3845
308.2 IPS |
|
|
Face Detection (SP)
|
100% |
4314
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
3012
35.8 IPS |
|
|
Face Detection (Q)
|
100% |
5723
68.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2705
20.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2698
20.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
6463
50.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7094
9.12 IPS |
|
|
Style Transfer (HP)
|
100% |
9058
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
31522
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1747
64.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1870
69.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6436
238.4 IPS |
|
|
Text Classification (SP)
|
100% |
1633
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
1731
2.31 KIPS |
|
|
Text Classification (Q)
|
92% |
2872
3.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2231
38.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1692
29.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1733
29.9 IPS |
