Microsoft Corporation Surface Laptop for Business 7th Edition with Intel
Geekbench AI Score
7247
Single Precision Score
13879
Half Precision Score
5032
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | oldnick |
| Upload Date | January 30 2026 08:34 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 130V GPU (8GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 5 236V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3715
690.9 IPS |
|
|
Image Classification (HP)
|
100% |
5594
1.04 KIPS |
|
|
Image Classification (Q)
|
100% |
3065
569.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
5746
93.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11775
190.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4281
69.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
19483
22.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
88246
103.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
16300
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
4305
341.5 IPS |
|
|
Object Detection (HP)
|
100% |
6252
495.9 IPS |
|
|
Object Detection (Q)
|
88% |
3528
283.0 IPS |
|
|
Face Detection (SP)
|
100% |
8329
99.0 IPS |
|
|
Face Detection (HP)
|
100% |
15099
179.4 IPS |
|
|
Face Detection (Q)
|
97% |
6086
72.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16021
123.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
29400
226.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
11497
91.9 IPS |
|
|
Style Transfer (SP)
|
100% |
48755
62.7 IPS |
|
|
Style Transfer (HP)
|
100% |
154922
199.2 IPS |
|
|
Style Transfer (Q)
|
98% |
35125
45.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8520
314.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19323
713.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5199
192.5 IPS |
|
|
Text Classification (SP)
|
100% |
1316
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
1703
2.27 KIPS |
|
|
Text Classification (Q)
|
97% |
797
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3062
52.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3226
55.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1357
25.4 IPS |
