Microsoft Corporation Surface Laptop for Business 7th Edition with Intel
Geekbench AI Score
1991
Single Precision Score
1092
Half Precision Score
5324
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | jason-stiff |
| Upload Date | February 28 2025 05:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 266V |
| 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% |
1611
299.5 IPS |
|
|
Image Classification (HP)
|
100% |
502
93.3 IPS |
|
|
Image Classification (Q)
|
100% |
3462
643.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1319
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
728
11.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3238
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1678
1.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
1207
1.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
8417
9.86 IPS |
|
|
Object Detection (SP)
|
100% |
1280
101.5 IPS |
|
|
Object Detection (HP)
|
100% |
499
39.6 IPS |
|
|
Object Detection (Q)
|
88% |
3245
260.1 IPS |
|
|
Face Detection (SP)
|
100% |
3399
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
1442
17.1 IPS |
|
|
Face Detection (Q)
|
100% |
7537
89.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2997
23.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1436
11.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
10768
83.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5940
7.64 IPS |
|
|
Style Transfer (HP)
|
100% |
3824
4.92 IPS |
|
|
Style Transfer (Q)
|
98% |
24763
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1333
49.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
847
31.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4930
182.6 IPS |
|
|
Text Classification (SP)
|
100% |
1442
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
1079
1.44 KIPS |
|
|
Text Classification (Q)
|
92% |
3564
4.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1852
31.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1524
26.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1694
29.2 IPS |
