Microsoft Corporation Surface Laptop for Business 7th Edition with Intel
Geekbench AI Score
7232
Single Precision Score
13489
Half Precision Score
5037
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danilonc |
| Upload Date | June 27 2025 07:34 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| 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 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% |
4376
813.8 IPS |
|
|
Image Classification (HP)
|
100% |
3479
647.1 IPS |
|
|
Image Classification (Q)
|
100% |
2186
406.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7216
117.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14949
242.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4931
80.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20680
24.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
85887
100.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
16783
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
4174
331.1 IPS |
|
|
Object Detection (HP)
|
100% |
6345
503.3 IPS |
|
|
Object Detection (Q)
|
88% |
3648
292.6 IPS |
|
|
Face Detection (SP)
|
100% |
9585
113.9 IPS |
|
|
Face Detection (HP)
|
100% |
17961
213.4 IPS |
|
|
Face Detection (Q)
|
97% |
6967
83.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18650
143.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35824
276.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
13819
110.4 IPS |
|
|
Style Transfer (SP)
|
100% |
50022
64.3 IPS |
|
|
Style Transfer (HP)
|
100% |
158006
203.1 IPS |
|
|
Style Transfer (Q)
|
98% |
34528
44.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7113
262.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14905
550.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5524
204.5 IPS |
|
|
Text Classification (SP)
|
100% |
670
894.4 IPS |
|
|
Text Classification (HP)
|
100% |
1771
2.36 KIPS |
|
|
Text Classification (Q)
|
97% |
735
984.5 IPS |
|
|
Machine Translation (SP)
|
100% |
3371
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2623
45.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1181
22.2 IPS |
