Microsoft Corporation Surface Laptop Studio 2
Geekbench AI Score
2415
Single Precision Score
934
Half Precision Score
4120
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | VdeBeer |
| Upload Date | May 16 2025 01:20 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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 | Gebalanceerd |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1790
332.9 IPS |
|
|
Image Classification (HP)
|
100% |
356
66.1 IPS |
|
|
Image Classification (Q)
|
99% |
3526
657.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1198
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
619
10.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2118
34.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3975
4.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
2509
2.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
13579
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1705
135.2 IPS |
|
|
Object Detection (HP)
|
100% |
431
34.2 IPS |
|
|
Object Detection (Q)
|
86% |
3487
280.3 IPS |
|
|
Face Detection (SP)
|
100% |
5058
60.1 IPS |
|
|
Face Detection (HP)
|
100% |
1046
12.4 IPS |
|
|
Face Detection (Q)
|
97% |
6264
74.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5123
39.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1306
10.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
8552
68.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9463
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6172
7.93 IPS |
|
|
Style Transfer (Q)
|
98% |
14983
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1654
61.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1145
42.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2346
86.9 IPS |
|
|
Text Classification (SP)
|
100% |
967
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
461
615.2 IPS |
|
|
Text Classification (Q)
|
97% |
1085
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1187
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
480
8.27 IPS |
|
|
Machine Translation (Q)
|
65% |
1955
39.3 IPS |
