Microsoft Corporation Surface Laptop for Business 7th Edition with Intel
Geekbench AI Score
2155
Single Precision Score
12835
Half Precision Score
17880
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | jason-stiff |
| Upload Date | February 28 2025 05:35 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% |
822
152.9 IPS |
|
|
Image Classification (HP)
|
100% |
6788
1.26 KIPS |
|
|
Image Classification (Q)
|
100% |
11165
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1807
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3839
62.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4911
79.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1819
2.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
63919
74.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
125100
146.5 IPS |
|
|
Object Detection (SP)
|
100% |
1038
82.3 IPS |
|
|
Object Detection (HP)
|
100% |
9086
720.7 IPS |
|
|
Object Detection (Q)
|
87% |
14110
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4479
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
18141
215.5 IPS |
|
|
Face Detection (Q)
|
100% |
38512
457.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3789
29.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
45651
351.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
76452
595.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7548
9.70 IPS |
|
|
Style Transfer (HP)
|
100% |
141906
182.4 IPS |
|
|
Style Transfer (Q)
|
98% |
228806
295.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1891
69.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22135
817.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22447
831.3 IPS |
|
|
Text Classification (SP)
|
100% |
2231
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
1534
2.05 KIPS |
|
|
Text Classification (Q)
|
92% |
1095
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1428
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2009
34.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2084
35.9 IPS |
