Microsoft Corporation Surface Pro for Business 11th Edition with Intel
Geekbench AI Score
3025
Single Precision Score
1940
Half Precision Score
8196
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | gbench |
| Upload Date | November 03 2025 07:03 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
1899
353.1 IPS |
|
|
Image Classification (HP)
|
100% |
1382
257.0 IPS |
|
|
Image Classification (Q)
|
100% |
5296
984.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1203
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
640
10.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4894
79.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3437
4.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2255
2.63 IPS |
|
|
Pose Estimation (Q)
|
96% |
13068
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1863
147.8 IPS |
|
|
Object Detection (HP)
|
100% |
1281
101.6 IPS |
|
|
Object Detection (Q)
|
88% |
5539
444.0 IPS |
|
|
Face Detection (SP)
|
100% |
5718
67.9 IPS |
|
|
Face Detection (HP)
|
100% |
2304
27.4 IPS |
|
|
Face Detection (Q)
|
100% |
13863
164.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4730
36.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3269
25.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
13953
108.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10315
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6562
8.44 IPS |
|
|
Style Transfer (Q)
|
98% |
36785
47.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2140
79.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1449
53.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6847
253.6 IPS |
|
|
Text Classification (SP)
|
100% |
2189
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
1444
1.93 KIPS |
|
|
Text Classification (Q)
|
92% |
4410
5.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3363
57.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2870
49.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3397
58.5 IPS |
