Microsoft Corporation Surface Laptop for Business 7th Edition with Intel
Geekbench AI Score
2939
Single Precision Score
1346
Half Precision Score
6048
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 12:47 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 268V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (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% |
1951
362.8 IPS |
|
|
Image Classification (HP)
|
100% |
513
95.5 IPS |
|
|
Image Classification (Q)
|
99% |
4877
909.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1249
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
855
13.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6636
107.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4600
5.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
3223
3.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
16430
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2030
161.0 IPS |
|
|
Object Detection (HP)
|
100% |
643
51.0 IPS |
|
|
Object Detection (Q)
|
86% |
4653
373.9 IPS |
|
|
Face Detection (SP)
|
100% |
5996
71.2 IPS |
|
|
Face Detection (HP)
|
100% |
1555
18.5 IPS |
|
|
Face Detection (Q)
|
97% |
8340
99.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5796
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1874
14.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
12653
101.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11409
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8472
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
20019
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2019
74.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1552
57.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4241
157.1 IPS |
|
|
Text Classification (SP)
|
100% |
1371
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
664
886.0 IPS |
|
|
Text Classification (Q)
|
97% |
1272
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1927
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
847
14.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2326
46.7 IPS |
