Microsoft Corporation Surface Pro for Business 11th Edition with Intel
Geekbench AI Score
7947
Single Precision Score
14996
Half Precision Score
5173
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 12 2025 03:43 AM |
| Views | 4 |
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 | Equilibrado |
| 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% |
4443
826.2 IPS |
|
|
Image Classification (HP)
|
100% |
6956
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
2507
466.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6484
105.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13275
215.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4868
79.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
21014
24.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
102353
119.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
19007
22.3 IPS |
|
|
Object Detection (SP)
|
100% |
5450
432.3 IPS |
|
|
Object Detection (HP)
|
100% |
8940
709.1 IPS |
|
|
Object Detection (Q)
|
88% |
3995
320.4 IPS |
|
|
Face Detection (SP)
|
100% |
8903
105.8 IPS |
|
|
Face Detection (HP)
|
100% |
16753
199.1 IPS |
|
|
Face Detection (Q)
|
97% |
6123
73.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
21280
163.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
33914
261.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
13131
104.9 IPS |
|
|
Style Transfer (SP)
|
100% |
51916
66.7 IPS |
|
|
Style Transfer (HP)
|
100% |
172940
222.3 IPS |
|
|
Style Transfer (Q)
|
98% |
36345
46.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9167
338.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13236
488.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5533
204.9 IPS |
|
|
Text Classification (SP)
|
100% |
1065
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1788
2.39 KIPS |
|
|
Text Classification (Q)
|
97% |
801
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3173
54.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2929
50.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1145
21.5 IPS |
