Microsoft Corporation Surface Laptop for Business 7th Edition with Intel
Geekbench AI Score
11148
Single Precision Score
26781
Half Precision Score
29548
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | February 07 2026 08:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (iGPU) |
| 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 Core 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% |
7594
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
14775
2.75 KIPS |
|
|
Image Classification (Q)
|
100% |
17089
3.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9979
161.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
26252
425.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30706
497.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
23655
27.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
134429
156.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
261173
305.8 IPS |
|
|
Object Detection (SP)
|
100% |
6693
530.9 IPS |
|
|
Object Detection (HP)
|
100% |
16033
1.27 KIPS |
|
|
Object Detection (Q)
|
88% |
16202
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
14857
176.5 IPS |
|
|
Face Detection (HP)
|
100% |
33893
402.7 IPS |
|
|
Face Detection (Q)
|
100% |
45233
537.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
24547
189.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
58901
453.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
66145
514.4 IPS |
|
|
Style Transfer (SP)
|
100% |
54694
70.3 IPS |
|
|
Style Transfer (HP)
|
100% |
152504
196.0 IPS |
|
|
Style Transfer (Q)
|
98% |
161981
208.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9864
364.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27696
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29227
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3663
4.89 KIPS |
|
|
Text Classification (HP)
|
100% |
4036
5.39 KIPS |
|
|
Text Classification (Q)
|
92% |
2364
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3431
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6671
115.3 IPS |
|
|
Machine Translation (Q)
|
100% |
6825
117.6 IPS |
