Microsoft Corporation Surface Laptop for Business 7th Edition with Intel
Geekbench AI Score
7419
Single Precision Score
13033
Half Precision Score
4925
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danilonc |
| Upload Date | June 27 2025 07:35 PM |
| Views | 8 |
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% |
4020
747.6 IPS |
|
|
Image Classification (HP)
|
100% |
4599
855.3 IPS |
|
|
Image Classification (Q)
|
100% |
2321
431.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6993
113.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13480
218.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5002
81.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20656
24.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
88803
103.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
16978
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
4299
341.0 IPS |
|
|
Object Detection (HP)
|
100% |
6746
535.1 IPS |
|
|
Object Detection (Q)
|
88% |
4165
334.0 IPS |
|
|
Face Detection (SP)
|
100% |
9868
117.3 IPS |
|
|
Face Detection (HP)
|
100% |
19104
227.0 IPS |
|
|
Face Detection (Q)
|
97% |
6259
74.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18266
140.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
37809
291.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
13031
104.1 IPS |
|
|
Style Transfer (SP)
|
100% |
46287
59.5 IPS |
|
|
Style Transfer (HP)
|
100% |
162817
209.3 IPS |
|
|
Style Transfer (Q)
|
98% |
38162
49.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8277
305.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13468
497.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5314
196.8 IPS |
|
|
Text Classification (SP)
|
100% |
1087
1.45 KIPS |
|
|
Text Classification (HP)
|
100% |
939
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
531
711.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2696
46.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2560
44.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1165
21.8 IPS |
