Microsoft Corporation Surface Laptop for Business 7th Edition with Intel
Geekbench AI Score
3271
Single Precision Score
24680
Half Precision Score
42918
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | February 07 2026 08:44 AM |
| Views | 1 |
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% |
1942
361.1 IPS |
|
|
Image Classification (HP)
|
100% |
15393
2.86 KIPS |
|
|
Image Classification (Q)
|
100% |
21375
3.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2194
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
17978
291.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
27232
441.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3507
4.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
108124
126.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
216585
253.7 IPS |
|
|
Object Detection (SP)
|
100% |
1895
150.3 IPS |
|
|
Object Detection (HP)
|
100% |
11484
910.9 IPS |
|
|
Object Detection (Q)
|
88% |
24681
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
5806
69.0 IPS |
|
|
Face Detection (HP)
|
100% |
35113
417.2 IPS |
|
|
Face Detection (Q)
|
100% |
68772
817.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4849
37.4 IPS |
|
|
Depth Estimation (HP)
|
92% |
67634
524.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
164291
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
10449
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
217288
279.3 IPS |
|
|
Style Transfer (Q)
|
98% |
325051
419.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2183
80.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28116
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83522
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2214
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
2655
3.54 KIPS |
|
|
Text Classification (Q)
|
92% |
3116
4.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3491
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6336
109.1 IPS |
|
|
Machine Translation (Q)
|
100% |
7130
122.8 IPS |
