Microsoft Corporation Surface Laptop for Business 7th Edition with Intel
Geekbench AI Score
1519
Single Precision Score
743
Half Precision Score
3177
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | jason-stiff |
| Upload Date | February 28 2025 05:13 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% |
1293
240.5 IPS |
|
|
Image Classification (HP)
|
100% |
269
49.9 IPS |
|
|
Image Classification (Q)
|
99% |
2524
470.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
780
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
536
8.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
1515
24.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1682
1.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
1337
1.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
6978
8.18 IPS |
|
|
Object Detection (SP)
|
100% |
975
77.3 IPS |
|
|
Object Detection (HP)
|
100% |
370
29.3 IPS |
|
|
Object Detection (Q)
|
86% |
2827
227.2 IPS |
|
|
Face Detection (SP)
|
100% |
2990
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
955
11.4 IPS |
|
|
Face Detection (Q)
|
97% |
4311
51.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2507
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1046
8.06 IPS |
|
|
Depth Estimation (Q)
|
78% |
7347
58.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4706
6.05 IPS |
|
|
Style Transfer (HP)
|
100% |
3870
4.97 IPS |
|
|
Style Transfer (Q)
|
98% |
10978
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1051
38.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
814
30.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2137
79.1 IPS |
|
|
Text Classification (SP)
|
100% |
840
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
489
652.0 IPS |
|
|
Text Classification (Q)
|
97% |
1006
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1275
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
472
8.13 IPS |
|
|
Machine Translation (Q)
|
65% |
1862
37.4 IPS |
