Microsoft Corporation Surface Laptop Studio 2
Geekbench AI Score
8217
Single Precision Score
12505
Half Precision Score
6941
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | mattskr |
| Upload Date | February 22 2025 07:47 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Microsoft Corporation Surface Laptop Studio 2 |
| Motherboard | Microsoft Corporation Surface Laptop Studio 2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700H |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2935
545.8 IPS |
|
|
Image Classification (HP)
|
99% |
4385
817.8 IPS |
|
|
Image Classification (Q)
|
99% |
2935
547.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5168
83.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6036
97.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4505
73.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
44433
51.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
135804
158.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
40520
47.5 IPS |
|
|
Object Detection (SP)
|
100% |
4158
329.8 IPS |
|
|
Object Detection (HP)
|
100% |
6437
510.6 IPS |
|
|
Object Detection (Q)
|
84% |
3881
313.0 IPS |
|
|
Face Detection (SP)
|
100% |
10041
119.3 IPS |
|
|
Face Detection (HP)
|
100% |
13968
166.0 IPS |
|
|
Face Detection (Q)
|
97% |
9180
109.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19730
152.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
43009
331.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
17448
139.9 IPS |
|
|
Style Transfer (SP)
|
100% |
83877
107.8 IPS |
|
|
Style Transfer (HP)
|
100% |
198667
255.4 IPS |
|
|
Style Transfer (Q)
|
98% |
69632
89.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14272
527.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20891
771.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10778
399.1 IPS |
|
|
Text Classification (SP)
|
100% |
1414
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
1083
1.45 KIPS |
|
|
Text Classification (Q)
|
97% |
779
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1494
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1497
25.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1334
25.0 IPS |
