Microsoft Corporation Surface Laptop for Business 7th Edition with Intel
Geekbench AI Score
1455
Single Precision Score
745
Half Precision Score
3157
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | jason-stiff |
| Upload Date | February 28 2025 05:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
615
114.4 IPS |
|
|
Image Classification (HP)
|
100% |
279
51.9 IPS |
|
|
Image Classification (Q)
|
99% |
2693
502.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
864
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
490
7.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
1568
25.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1701
1.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
1352
1.58 IPS |
|
|
Pose Estimation (Q)
|
94% |
7005
8.21 IPS |
|
|
Object Detection (SP)
|
100% |
1026
81.4 IPS |
|
|
Object Detection (HP)
|
100% |
398
31.6 IPS |
|
|
Object Detection (Q)
|
86% |
2570
206.5 IPS |
|
|
Face Detection (SP)
|
100% |
2963
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
1009
12.0 IPS |
|
|
Face Detection (Q)
|
97% |
4239
50.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2801
21.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1081
8.33 IPS |
|
|
Depth Estimation (Q)
|
78% |
6578
52.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4572
5.88 IPS |
|
|
Style Transfer (HP)
|
100% |
3661
4.71 IPS |
|
|
Style Transfer (Q)
|
98% |
9832
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1016
37.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
741
27.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2126
78.7 IPS |
|
|
Text Classification (SP)
|
100% |
888
1.19 KIPS |
|
|
Text Classification (HP)
|
100% |
521
695.9 IPS |
|
|
Text Classification (Q)
|
97% |
1182
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1340
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
466
8.03 IPS |
|
|
Machine Translation (Q)
|
65% |
1879
37.8 IPS |
