Microsoft Corporation Surface Pro for Business 11th Edition with Intel
Geekbench AI Score
2507
Single Precision Score
1326
Half Precision Score
5051
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | artraptors |
| Upload Date | May 29 2025 05:39 PM |
| Views | 6 |
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 | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
1630
303.2 IPS |
|
|
Image Classification (HP)
|
100% |
546
101.6 IPS |
|
|
Image Classification (Q)
|
99% |
4269
796.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1329
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
857
13.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2417
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3130
3.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
2714
3.17 IPS |
|
|
Pose Estimation (Q)
|
94% |
12467
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1793
142.2 IPS |
|
|
Object Detection (HP)
|
100% |
651
51.6 IPS |
|
|
Object Detection (Q)
|
86% |
4120
331.1 IPS |
|
|
Face Detection (SP)
|
100% |
5128
60.9 IPS |
|
|
Face Detection (HP)
|
100% |
1646
19.6 IPS |
|
|
Face Detection (Q)
|
97% |
6751
80.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4524
34.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1969
15.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
10155
81.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8307
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
6601
8.49 IPS |
|
|
Style Transfer (Q)
|
98% |
17332
22.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1800
66.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1547
57.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3539
131.0 IPS |
|
|
Text Classification (SP)
|
100% |
1196
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
742
990.4 IPS |
|
|
Text Classification (Q)
|
97% |
1569
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1951
33.6 IPS |
|
|
Machine Translation (HP)
|
100% |
832
14.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3094
62.2 IPS |
