Microsoft Corporation Surface Laptop for Business 7th Edition with Intel
Geekbench AI Score
2682
Single Precision Score
13219
Half Precision Score
19735
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | jason-stiff |
| Upload Date | February 28 2025 05:41 PM |
| Views | 12 |
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% |
1918
356.7 IPS |
|
|
Image Classification (HP)
|
100% |
9771
1.82 KIPS |
|
|
Image Classification (Q)
|
100% |
13805
2.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2074
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4296
69.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4987
80.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3361
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
61508
71.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
148459
173.9 IPS |
|
|
Object Detection (SP)
|
100% |
1614
128.0 IPS |
|
|
Object Detection (HP)
|
100% |
8897
705.7 IPS |
|
|
Object Detection (Q)
|
87% |
14503
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
4247
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
17131
203.6 IPS |
|
|
Face Detection (Q)
|
100% |
40052
475.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4024
31.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
47187
363.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
74253
577.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7500
9.64 IPS |
|
|
Style Transfer (HP)
|
100% |
158696
204.0 IPS |
|
|
Style Transfer (Q)
|
98% |
246709
318.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1399
51.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17501
646.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23626
875.0 IPS |
|
|
Text Classification (SP)
|
100% |
2219
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
1554
2.07 KIPS |
|
|
Text Classification (Q)
|
92% |
1632
2.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2249
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2033
35.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2138
36.8 IPS |
