Microsoft Corporation Surface Laptop for Business 7th Edition with Intel
Geekbench AI Score
2701
Single Precision Score
23628
Half Precision Score
41223
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | oldnick |
| Upload Date | January 30 2026 08:42 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1592
296.1 IPS |
|
|
Image Classification (HP)
|
100% |
15297
2.84 KIPS |
|
|
Image Classification (Q)
|
100% |
21807
4.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2011
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13822
224.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
22233
360.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2915
3.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
82580
96.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
181367
212.5 IPS |
|
|
Object Detection (SP)
|
100% |
1530
121.4 IPS |
|
|
Object Detection (HP)
|
100% |
13555
1.08 KIPS |
|
|
Object Detection (Q)
|
88% |
24548
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
4489
53.3 IPS |
|
|
Face Detection (HP)
|
100% |
31683
376.5 IPS |
|
|
Face Detection (Q)
|
100% |
74243
882.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4061
31.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
67944
525.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
143662
1.12 KIPS |
|
|
Style Transfer (SP)
|
100% |
8637
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
157214
202.1 IPS |
|
|
Style Transfer (Q)
|
98% |
301668
389.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1836
67.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28666
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
62532
2.32 KIPS |
|
|
Text Classification (SP)
|
100% |
1827
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
3406
4.55 KIPS |
|
|
Text Classification (Q)
|
92% |
4354
5.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2741
47.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6935
119.5 IPS |
|
|
Machine Translation (Q)
|
100% |
7494
129.1 IPS |
