Microsoft Corporation Surface Laptop for Business 7th Edition with Intel
Geekbench AI Score
8769
Single Precision Score
17731
Half Precision Score
5784
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 12:53 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (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 268V |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4569
849.7 IPS |
|
|
Image Classification (HP)
|
100% |
6884
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
3489
648.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7200
116.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14379
233.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5091
82.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
22209
25.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
111331
129.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
19134
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
5915
469.2 IPS |
|
|
Object Detection (HP)
|
100% |
10465
830.1 IPS |
|
|
Object Detection (Q)
|
88% |
4619
370.5 IPS |
|
|
Face Detection (SP)
|
100% |
10252
121.8 IPS |
|
|
Face Detection (HP)
|
100% |
20069
238.5 IPS |
|
|
Face Detection (Q)
|
97% |
7279
86.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
21199
163.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
45755
352.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
14157
113.1 IPS |
|
|
Style Transfer (SP)
|
100% |
56312
72.4 IPS |
|
|
Style Transfer (HP)
|
100% |
186770
240.1 IPS |
|
|
Style Transfer (Q)
|
98% |
41017
52.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10555
389.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22725
839.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5643
209.0 IPS |
|
|
Text Classification (SP)
|
100% |
1434
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
1858
2.48 KIPS |
|
|
Text Classification (Q)
|
97% |
850
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3360
57.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3679
63.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1318
24.7 IPS |
