Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2131
Single Precision Score
8030
Half Precision Score
12072
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 14 2024 02:46 PM |
| Views | 4 |
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% |
1192
221.7 IPS |
|
|
Image Classification (HP)
|
100% |
5619
1.04 KIPS |
|
|
Image Classification (Q)
|
100% |
7623
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1622
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2311
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3111
50.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3274
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
29448
34.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
64103
75.1 IPS |
|
|
Object Detection (SP)
|
100% |
1261
100.0 IPS |
|
|
Object Detection (HP)
|
100% |
4858
385.4 IPS |
|
|
Object Detection (Q)
|
87% |
7647
613.7 IPS |
|
|
Face Detection (SP)
|
100% |
3517
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
13247
157.4 IPS |
|
|
Face Detection (Q)
|
100% |
21108
250.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3947
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
16769
129.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
30721
239.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9261
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
45756
58.8 IPS |
|
|
Style Transfer (Q)
|
98% |
82778
106.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1756
64.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12197
450.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21241
786.6 IPS |
|
|
Text Classification (SP)
|
100% |
638
852.2 IPS |
|
|
Text Classification (HP)
|
100% |
1788
2.39 KIPS |
|
|
Text Classification (Q)
|
92% |
1797
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1682
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2709
46.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2760
47.5 IPS |
