Microsoft Corporation Surface Pro for Business 11th Edition with Intel
Geekbench AI Score
8469
Single Precision Score
16300
Half Precision Score
5742
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | gbench |
| Upload Date | November 03 2025 06:57 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| 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% |
4499
836.6 IPS |
|
|
Image Classification (HP)
|
100% |
6466
1.20 KIPS |
|
|
Image Classification (Q)
|
100% |
3616
672.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7201
116.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13842
224.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5044
82.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
22500
26.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
108334
126.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
19246
22.5 IPS |
|
|
Object Detection (SP)
|
100% |
5566
441.5 IPS |
|
|
Object Detection (HP)
|
100% |
9527
755.7 IPS |
|
|
Object Detection (Q)
|
88% |
4361
349.8 IPS |
|
|
Face Detection (SP)
|
100% |
9997
118.8 IPS |
|
|
Face Detection (HP)
|
100% |
18610
221.1 IPS |
|
|
Face Detection (Q)
|
97% |
7235
86.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20848
160.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
43900
338.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
13944
111.4 IPS |
|
|
Style Transfer (SP)
|
100% |
57616
74.1 IPS |
|
|
Style Transfer (HP)
|
100% |
184700
237.4 IPS |
|
|
Style Transfer (Q)
|
98% |
42613
54.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9740
359.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20505
757.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5452
201.9 IPS |
|
|
Text Classification (SP)
|
100% |
1374
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
1717
2.29 KIPS |
|
|
Text Classification (Q)
|
97% |
836
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2913
50.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2698
46.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1300
24.4 IPS |
