Microsoft Corporation Surface Laptop for Business 7th Edition with Intel
Geekbench AI Score
3192
Single Precision Score
1376
Half Precision Score
6339
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 23 2025 02:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 268V |
| 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(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% |
2504
465.6 IPS |
|
|
Image Classification (HP)
|
100% |
524
97.5 IPS |
|
|
Image Classification (Q)
|
99% |
5124
955.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1571
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1002
16.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
7327
119.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5127
5.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
3169
3.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
16539
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2209
175.2 IPS |
|
|
Object Detection (HP)
|
100% |
686
54.4 IPS |
|
|
Object Detection (Q)
|
86% |
5121
411.6 IPS |
|
|
Face Detection (SP)
|
100% |
6541
77.7 IPS |
|
|
Face Detection (HP)
|
100% |
1728
20.5 IPS |
|
|
Face Detection (Q)
|
97% |
8247
98.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6297
48.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1959
15.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
13079
104.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11358
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7992
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
21876
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2090
77.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1453
53.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4015
148.7 IPS |
|
|
Text Classification (SP)
|
100% |
1323
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
686
915.5 IPS |
|
|
Text Classification (Q)
|
97% |
1358
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1906
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
793
13.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2563
51.5 IPS |
