Microsoft Corporation Surface Laptop for Business 7th Edition with Intel
Geekbench AI Score
1389
Single Precision Score
845
Half Precision Score
2854
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 14 2025 03:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 236V |
| 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 5 236V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
816
151.7 IPS |
|
|
Image Classification (HP)
|
100% |
391
72.7 IPS |
|
|
Image Classification (Q)
|
100% |
1464
272.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1046
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
333
5.39 IPS |
|
|
Image Segmentation (Q)
|
99% |
923
15.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1999
2.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1319
1.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
7021
8.22 IPS |
|
|
Object Detection (SP)
|
100% |
857
68.0 IPS |
|
|
Object Detection (HP)
|
100% |
441
35.0 IPS |
|
|
Object Detection (Q)
|
88% |
1525
122.3 IPS |
|
|
Face Detection (SP)
|
100% |
2586
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
657
7.81 IPS |
|
|
Face Detection (Q)
|
100% |
6482
77.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2498
19.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1705
13.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
6409
49.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5281
6.79 IPS |
|
|
Style Transfer (HP)
|
100% |
3721
4.78 IPS |
|
|
Style Transfer (Q)
|
98% |
11393
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
760
28.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
717
26.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3355
124.3 IPS |
|
|
Text Classification (SP)
|
100% |
608
812.2 IPS |
|
|
Text Classification (HP)
|
100% |
588
784.5 IPS |
|
|
Text Classification (Q)
|
92% |
1293
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1167
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1401
24.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1208
20.8 IPS |
