Microsoft Corporation Surface Pro for Business 11th Edition with Intel
Geekbench AI Score
1765
Single Precision Score
907
Half Precision Score
3867
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | gbench |
| Upload Date | November 03 2025 06:54 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 268V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Pro for Business 11th Edition with Intel |
| Motherboard | Microsoft Corporation Surface Pro for Business 11th Edition with Intel |
| Power Plan | Ausbalanciert |
| 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% |
1122
208.7 IPS |
|
|
Image Classification (HP)
|
100% |
343
63.8 IPS |
|
|
Image Classification (Q)
|
99% |
3154
588.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
845
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
599
9.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
4561
74.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2935
3.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
2121
2.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
9069
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
1079
85.6 IPS |
|
|
Object Detection (HP)
|
100% |
424
33.7 IPS |
|
|
Object Detection (Q)
|
86% |
2675
215.0 IPS |
|
|
Face Detection (SP)
|
100% |
3204
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
1000
11.9 IPS |
|
|
Face Detection (Q)
|
97% |
5240
62.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2858
22.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1366
10.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
6192
49.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6732
8.65 IPS |
|
|
Style Transfer (HP)
|
100% |
5281
6.79 IPS |
|
|
Style Transfer (Q)
|
98% |
14311
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1256
46.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
977
36.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2529
93.6 IPS |
|
|
Text Classification (SP)
|
100% |
975
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
453
604.4 IPS |
|
|
Text Classification (Q)
|
97% |
1013
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1296
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
642
11.1 IPS |
|
|
Machine Translation (Q)
|
65% |
1805
36.3 IPS |
