Microsoft Corporation Surface Laptop 6 for Business
Geekbench AI Score
8358
Single Precision Score
12342
Half Precision Score
18130
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | February 20 2026 12:00 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 135H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5558
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
7755
1.44 KIPS |
|
|
Image Classification (Q)
|
100% |
9011
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4956
80.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
10843
175.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
15833
256.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
22392
26.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
22331
26.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
70365
82.4 IPS |
|
|
Object Detection (SP)
|
100% |
5296
420.1 IPS |
|
|
Object Detection (HP)
|
100% |
7951
630.7 IPS |
|
|
Object Detection (Q)
|
88% |
10925
875.5 IPS |
|
|
Face Detection (SP)
|
100% |
10235
121.6 IPS |
|
|
Face Detection (HP)
|
100% |
20039
238.1 IPS |
|
|
Face Detection (Q)
|
100% |
30642
364.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19409
149.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
32727
252.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
38489
299.2 IPS |
|
|
Style Transfer (SP)
|
100% |
55909
71.9 IPS |
|
|
Style Transfer (HP)
|
100% |
68871
88.5 IPS |
|
|
Style Transfer (Q)
|
98% |
166013
214.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9064
334.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15294
564.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22483
832.6 IPS |
|
|
Text Classification (SP)
|
71% |
2019
2.92 KIPS |
|
|
Text Classification (HP)
|
71% |
2581
3.73 KIPS |
|
|
Text Classification (Q)
|
92% |
2607
3.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2506
43.2 IPS |
|
|
Machine Translation (HP)
|
96% |
3083
53.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3049
52.5 IPS |
