Microsoft Corporation Surface Laptop Studio 2
Geekbench AI Score
12951
Single Precision Score
20652
Half Precision Score
10365
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | VdeBeer |
| Upload Date | May 16 2025 01:26 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| 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% |
5266
979.2 IPS |
|
|
Image Classification (HP)
|
99% |
9062
1.69 KIPS |
|
|
Image Classification (Q)
|
99% |
5052
942.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
8544
138.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10387
168.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
8024
130.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
66956
78.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
194281
226.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
59181
69.3 IPS |
|
|
Object Detection (SP)
|
100% |
6702
531.6 IPS |
|
|
Object Detection (HP)
|
100% |
10660
845.5 IPS |
|
|
Object Detection (Q)
|
84% |
5252
423.6 IPS |
|
|
Face Detection (SP)
|
100% |
14601
173.5 IPS |
|
|
Face Detection (HP)
|
100% |
20585
244.6 IPS |
|
|
Face Detection (Q)
|
97% |
14408
171.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
30929
238.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
67888
524.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
24614
197.3 IPS |
|
|
Style Transfer (SP)
|
100% |
127526
163.9 IPS |
|
|
Style Transfer (HP)
|
100% |
316007
406.2 IPS |
|
|
Style Transfer (Q)
|
98% |
106813
137.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22115
816.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37298
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16517
611.6 IPS |
|
|
Text Classification (SP)
|
100% |
1902
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
1603
2.14 KIPS |
|
|
Text Classification (Q)
|
97% |
1168
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2716
46.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2743
47.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1555
29.2 IPS |
