Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2212
Single Precision Score
7904
Half Precision Score
11989
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 26 2024 03:53 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1204
223.9 IPS |
|
|
Image Classification (HP)
|
100% |
6020
1.12 KIPS |
|
|
Image Classification (Q)
|
100% |
8147
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1795
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2361
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3180
51.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3474
4.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
29742
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
64346
75.4 IPS |
|
|
Object Detection (SP)
|
100% |
1345
106.7 IPS |
|
|
Object Detection (HP)
|
100% |
5059
401.3 IPS |
|
|
Object Detection (Q)
|
87% |
7884
632.8 IPS |
|
|
Face Detection (SP)
|
100% |
3881
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
12422
147.6 IPS |
|
|
Face Detection (Q)
|
100% |
20565
244.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3849
29.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
16947
130.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
31562
245.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10184
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
45248
58.2 IPS |
|
|
Style Transfer (Q)
|
98% |
80604
103.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1711
63.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11979
442.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21231
786.3 IPS |
|
|
Text Classification (SP)
|
100% |
530
707.0 IPS |
|
|
Text Classification (HP)
|
100% |
1797
2.40 KIPS |
|
|
Text Classification (Q)
|
92% |
1765
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2019
34.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2171
37.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2382
41.0 IPS |
