Microsoft Corporation Surface Laptop 6 for Business
Geekbench AI Score
5001
Single Precision Score
7884
Half Precision Score
3726
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 03 2025 10:45 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Laptop 6 for Business |
| Motherboard | Microsoft Corporation Surface Laptop 6 for Business |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 165H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2614
486.2 IPS |
|
|
Image Classification (HP)
|
100% |
4605
856.3 IPS |
|
|
Image Classification (Q)
|
100% |
2288
425.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3364
54.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8204
133.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2831
46.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15582
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20879
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13463
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
2541
201.6 IPS |
|
|
Object Detection (HP)
|
99% |
5346
425.3 IPS |
|
|
Object Detection (Q)
|
86% |
2414
194.1 IPS |
|
|
Face Detection (SP)
|
100% |
5040
59.9 IPS |
|
|
Face Detection (HP)
|
100% |
8489
100.9 IPS |
|
|
Face Detection (Q)
|
97% |
3907
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10449
80.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
20513
158.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
8369
67.2 IPS |
|
|
Style Transfer (SP)
|
100% |
46251
59.5 IPS |
|
|
Style Transfer (HP)
|
100% |
71990
92.5 IPS |
|
|
Style Transfer (Q)
|
98% |
33414
43.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7393
273.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11681
431.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3972
147.1 IPS |
|
|
Text Classification (SP)
|
86% |
804
1.09 KIPS |
|
|
Text Classification (HP)
|
99% |
690
921.3 IPS |
|
|
Text Classification (Q)
|
84% |
597
810.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1942
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2179
37.5 IPS |
|
|
Machine Translation (Q)
|
70% |
946
17.7 IPS |
