Microsoft Corporation Surface Laptop 6 for Business
Geekbench AI Score
3216
Single Precision Score
8900
Half Precision Score
13652
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 03 2025 10:56 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1624
302.0 IPS |
|
|
Image Classification (HP)
|
100% |
6147
1.14 KIPS |
|
|
Image Classification (Q)
|
100% |
8624
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2621
42.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2447
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2913
47.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5195
6.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
29383
34.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
65480
76.7 IPS |
|
|
Object Detection (SP)
|
100% |
1629
129.2 IPS |
|
|
Object Detection (HP)
|
100% |
5342
423.7 IPS |
|
|
Object Detection (Q)
|
88% |
8978
719.8 IPS |
|
|
Face Detection (SP)
|
100% |
5392
64.1 IPS |
|
|
Face Detection (HP)
|
100% |
14760
175.4 IPS |
|
|
Face Detection (Q)
|
100% |
25059
297.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5129
39.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17350
133.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
32251
250.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14490
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
50650
65.1 IPS |
|
|
Style Transfer (Q)
|
98% |
91294
117.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2390
88.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14137
522.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27146
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
1940
2.59 KIPS |
|
|
Text Classification (HP)
|
100% |
1781
2.38 KIPS |
|
|
Text Classification (Q)
|
92% |
1817
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1769
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4045
69.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4186
72.1 IPS |
