Microsoft Corporation Surface Laptop for Business 7th Edition with Intel
Geekbench AI Score
10169
Single Precision Score
23121
Half Precision Score
25199
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | April 16 2026 03:54 PM |
| Views | 2 |
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% |
6863
1.28 KIPS |
|
|
Image Classification (HP)
|
100% |
13861
2.58 KIPS |
|
|
Image Classification (Q)
|
100% |
13826
2.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9677
156.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
25522
413.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30735
498.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
24192
28.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
137683
160.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
265977
311.4 IPS |
|
|
Object Detection (SP)
|
100% |
6576
521.6 IPS |
|
|
Object Detection (HP)
|
100% |
15239
1.21 KIPS |
|
|
Object Detection (Q)
|
88% |
15690
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
14047
166.9 IPS |
|
|
Face Detection (HP)
|
100% |
30231
359.2 IPS |
|
|
Face Detection (Q)
|
100% |
38630
459.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
24930
192.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
60153
463.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
69095
537.3 IPS |
|
|
Style Transfer (SP)
|
100% |
54739
70.4 IPS |
|
|
Style Transfer (HP)
|
100% |
152949
196.6 IPS |
|
|
Style Transfer (Q)
|
98% |
160831
207.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10044
370.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27105
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25589
947.7 IPS |
|
|
Text Classification (SP)
|
100% |
2329
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
2103
2.81 KIPS |
|
|
Text Classification (Q)
|
92% |
1383
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2497
43.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3711
64.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3833
66.0 IPS |
