Microsoft Corporation Surface Pro for Business 11th Edition with Intel
Geekbench AI Score
1779
Single Precision Score
886
Half Precision Score
3707
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | gbench |
| Upload Date | November 03 2025 07:00 PM |
| Views | 2 |
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% |
1147
213.4 IPS |
|
|
Image Classification (HP)
|
100% |
342
63.7 IPS |
|
|
Image Classification (Q)
|
99% |
2441
455.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
768
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
567
9.18 IPS |
|
|
Image Segmentation (Q)
|
98% |
4292
69.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2870
3.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2107
2.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
9349
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1052
83.4 IPS |
|
|
Object Detection (HP)
|
100% |
410
32.5 IPS |
|
|
Object Detection (Q)
|
86% |
2805
225.5 IPS |
|
|
Face Detection (SP)
|
100% |
3070
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
1034
12.3 IPS |
|
|
Face Detection (Q)
|
97% |
5244
62.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3127
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1261
9.72 IPS |
|
|
Depth Estimation (Q)
|
78% |
6741
53.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7323
9.41 IPS |
|
|
Style Transfer (HP)
|
100% |
5115
6.57 IPS |
|
|
Style Transfer (Q)
|
98% |
12630
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1279
47.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
926
34.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2684
99.4 IPS |
|
|
Text Classification (SP)
|
100% |
1039
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
457
609.6 IPS |
|
|
Text Classification (Q)
|
97% |
860
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1284
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
632
10.9 IPS |
|
|
Machine Translation (Q)
|
65% |
1732
34.8 IPS |
