Microsoft Corporation Surface Pro for Business 11th Edition with Intel
Geekbench AI Score
859
Single Precision Score
492
Half Precision Score
1982
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 13 2025 10:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 268V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (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 | 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% |
936
174.1 IPS |
|
|
Image Classification (HP)
|
100% |
408
75.8 IPS |
|
|
Image Classification (Q)
|
99% |
3362
627.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
968
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
654
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3218
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3333
3.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
1528
1.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
8223
9.64 IPS |
|
|
Object Detection (SP)
|
100% |
950
75.3 IPS |
|
|
Object Detection (HP)
|
100% |
351
27.8 IPS |
|
|
Object Detection (Q)
|
86% |
2221
178.5 IPS |
|
|
Face Detection (SP)
|
100% |
3812
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
799
9.49 IPS |
|
|
Face Detection (Q)
|
97% |
4975
59.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3286
25.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1135
8.74 IPS |
|
|
Depth Estimation (Q)
|
78% |
4399
35.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3469
4.46 IPS |
|
|
Style Transfer (HP)
|
100% |
1478
1.90 IPS |
|
|
Style Transfer (Q)
|
98% |
2063
2.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
137
5.05 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
145
5.36 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
420
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
82
109.5 IPS |
|
|
Text Classification (HP)
|
100% |
56
74.4 IPS |
|
|
Text Classification (Q)
|
97% |
162
216.9 IPS |
|
|
Machine Translation (SP)
|
100% |
158
2.72 IPS |
|
|
Machine Translation (HP)
|
100% |
536
9.23 IPS |
|
|
Machine Translation (Q)
|
65% |
1549
31.1 IPS |
