Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2137
Single Precision Score
2131
Half Precision Score
5564
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 05 2024 03:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 135U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Pro 10 for Business |
| Motherboard | Microsoft Corporation Surface Pro 10 for Business |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 135U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1221
227.1 IPS |
|
|
Image Classification (HP)
|
100% |
1239
230.5 IPS |
|
|
Image Classification (Q)
|
100% |
3603
670.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1790
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1776
28.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3519
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3141
3.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
3026
3.53 IPS |
|
|
Pose Estimation (Q)
|
96% |
11808
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1286
102.0 IPS |
|
|
Object Detection (HP)
|
100% |
1290
102.4 IPS |
|
|
Object Detection (Q)
|
88% |
3550
284.6 IPS |
|
|
Face Detection (SP)
|
100% |
3744
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
3732
44.3 IPS |
|
|
Face Detection (Q)
|
100% |
7737
91.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3917
30.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3932
30.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
9361
72.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9060
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8852
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
30711
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1716
63.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1772
65.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5951
220.4 IPS |
|
|
Text Classification (SP)
|
100% |
600
801.3 IPS |
|
|
Text Classification (HP)
|
100% |
634
846.9 IPS |
|
|
Text Classification (Q)
|
92% |
2645
3.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1651
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1547
26.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1529
26.3 IPS |
