Microsoft Corporation Surface Laptop for Business 7th Edition with Intel
Geekbench AI Score
3245
Single Precision Score
20955
Half Precision Score
33395
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danilonc |
| Upload Date | June 27 2025 07:41 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (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(R) Core(TM) 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% |
1921
357.2 IPS |
|
|
Image Classification (HP)
|
100% |
10960
2.04 KIPS |
|
|
Image Classification (Q)
|
100% |
17017
3.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2179
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14922
241.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
27928
452.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3419
3.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
103041
120.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
204871
240.0 IPS |
|
|
Object Detection (SP)
|
100% |
1878
148.9 IPS |
|
|
Object Detection (HP)
|
100% |
15257
1.21 KIPS |
|
|
Object Detection (Q)
|
87% |
20354
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
5768
68.5 IPS |
|
|
Face Detection (HP)
|
100% |
26278
312.2 IPS |
|
|
Face Detection (Q)
|
100% |
57571
684.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4748
36.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
68459
527.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
110855
862.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10326
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
207154
266.3 IPS |
|
|
Style Transfer (Q)
|
98% |
267409
344.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2157
79.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23685
874.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
54025
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
2163
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
1899
2.54 KIPS |
|
|
Text Classification (Q)
|
92% |
2491
3.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3655
63.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3790
65.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3791
65.3 IPS |
