Microsoft Corporation Surface Laptop for Business 7th Edition with Intel
Geekbench AI Score
2403
Single Precision Score
13587
Half Precision Score
19444
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | jason-stiff |
| Upload Date | February 28 2025 05:32 PM |
| Views | 2 |
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 266V |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1925
358.0 IPS |
|
|
Image Classification (HP)
|
100% |
9736
1.81 KIPS |
|
|
Image Classification (Q)
|
100% |
12513
2.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1799
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3751
60.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4436
71.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1856
2.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
71203
83.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
143471
168.1 IPS |
|
|
Object Detection (SP)
|
100% |
1533
121.6 IPS |
|
|
Object Detection (HP)
|
100% |
9675
767.4 IPS |
|
|
Object Detection (Q)
|
87% |
14293
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3148
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
16540
196.5 IPS |
|
|
Face Detection (Q)
|
100% |
39020
463.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3759
29.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
44466
342.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
66598
518.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6399
8.23 IPS |
|
|
Style Transfer (HP)
|
100% |
146377
188.2 IPS |
|
|
Style Transfer (Q)
|
98% |
216681
279.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1855
68.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22438
828.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36971
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
2047
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
1827
2.44 KIPS |
|
|
Text Classification (Q)
|
92% |
1536
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2268
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1932
33.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2123
36.6 IPS |
