Microsoft Corporation Surface Laptop for Business 7th Edition with Intel
Geekbench AI Score
2707
Single Precision Score
1255
Half Precision Score
5511
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | oldnick |
| Upload Date | January 30 2026 08:31 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 236V |
| 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% |
2188
406.9 IPS |
|
|
Image Classification (HP)
|
100% |
451
83.8 IPS |
|
|
Image Classification (Q)
|
99% |
4520
843.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1143
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
772
12.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
6421
104.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4424
5.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
3196
3.73 IPS |
|
|
Pose Estimation (Q)
|
94% |
16193
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2025
160.6 IPS |
|
|
Object Detection (HP)
|
100% |
599
47.5 IPS |
|
|
Object Detection (Q)
|
86% |
4355
350.0 IPS |
|
|
Face Detection (SP)
|
100% |
3908
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
1348
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
6560
78.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5653
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1826
14.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
10970
87.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11040
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8265
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
17313
22.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1954
72.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1478
54.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4014
148.6 IPS |
|
|
Text Classification (SP)
|
100% |
1226
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
602
803.6 IPS |
|
|
Text Classification (Q)
|
97% |
1204
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1617
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
807
13.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2100
42.2 IPS |
