Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2308
Single Precision Score
8037
Half Precision Score
12048
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 01 2024 03:26 PM |
| Views | 2 |
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% |
1304
242.4 IPS |
|
|
Image Classification (HP)
|
100% |
5659
1.05 KIPS |
|
|
Image Classification (Q)
|
100% |
7748
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1831
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2355
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3057
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3476
4.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
29238
34.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
62968
73.8 IPS |
|
|
Object Detection (SP)
|
100% |
1358
107.7 IPS |
|
|
Object Detection (HP)
|
100% |
4751
376.8 IPS |
|
|
Object Detection (Q)
|
87% |
7556
606.4 IPS |
|
|
Face Detection (SP)
|
100% |
3880
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
13029
154.8 IPS |
|
|
Face Detection (Q)
|
100% |
20990
249.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4055
31.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
16801
129.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
30606
238.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10203
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
45484
58.5 IPS |
|
|
Style Transfer (Q)
|
98% |
81814
105.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1862
68.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12034
444.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21522
797.0 IPS |
|
|
Text Classification (SP)
|
100% |
640
854.5 IPS |
|
|
Text Classification (HP)
|
100% |
1841
2.46 KIPS |
|
|
Text Classification (Q)
|
92% |
1860
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1996
34.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2757
47.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2718
46.8 IPS |
