Microsoft Corporation Surface Laptop Studio 2
Geekbench AI Score
13535
Single Precision Score
23783
Half Precision Score
10983
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Betancd |
| Upload Date | December 21 2024 07:41 AM |
| Views | 2 |
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% |
5075
943.8 IPS |
|
|
Image Classification (HP)
|
99% |
9716
1.81 KIPS |
|
|
Image Classification (Q)
|
99% |
4982
929.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
8775
142.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11947
193.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
8229
133.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
64500
75.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
203151
237.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
57881
67.8 IPS |
|
|
Object Detection (SP)
|
100% |
6466
512.9 IPS |
|
|
Object Detection (HP)
|
100% |
12204
968.0 IPS |
|
|
Object Detection (Q)
|
84% |
6138
495.0 IPS |
|
|
Face Detection (SP)
|
100% |
15675
186.2 IPS |
|
|
Face Detection (HP)
|
100% |
26251
311.9 IPS |
|
|
Face Detection (Q)
|
97% |
14378
171.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
30219
232.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
65445
504.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
26238
209.9 IPS |
|
|
Style Transfer (SP)
|
100% |
113574
146.0 IPS |
|
|
Style Transfer (HP)
|
100% |
282061
362.6 IPS |
|
|
Style Transfer (Q)
|
98% |
101991
131.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23103
853.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37595
1.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17009
629.8 IPS |
|
|
Text Classification (SP)
|
100% |
3021
4.03 KIPS |
|
|
Text Classification (HP)
|
99% |
3538
4.72 KIPS |
|
|
Text Classification (Q)
|
97% |
1741
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2960
51.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3122
53.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1540
28.9 IPS |
