Microsoft Corporation Surface Laptop for Business 7th Edition with Intel
Geekbench AI Score
2556
Single Precision Score
23159
Half Precision Score
38184
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | April 16 2026 03:52 PM |
| Views | 2 |
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 for Business 7th Edition with Intel |
| Motherboard | Microsoft Corporation Surface Laptop for Business 7th Edition with Intel |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 268V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1670
310.6 IPS |
|
|
Image Classification (HP)
|
100% |
15132
2.81 KIPS |
|
|
Image Classification (Q)
|
100% |
19727
3.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1684
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
17671
286.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
27633
447.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2704
3.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
108144
126.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
224007
262.4 IPS |
|
|
Object Detection (SP)
|
100% |
1497
118.8 IPS |
|
|
Object Detection (HP)
|
100% |
12435
986.3 IPS |
|
|
Object Detection (Q)
|
88% |
16340
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
4357
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
30863
366.7 IPS |
|
|
Face Detection (Q)
|
100% |
67299
799.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3716
28.6 IPS |
|
|
Depth Estimation (HP)
|
92% |
67052
520.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
119369
929.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8009
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
211546
271.9 IPS |
|
|
Style Transfer (Q)
|
98% |
329363
424.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1689
62.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28899
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83680
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
1738
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
2022
2.70 KIPS |
|
|
Text Classification (Q)
|
92% |
2875
3.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2755
47.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4825
83.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5188
89.4 IPS |
