Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2233
Single Precision Score
8074
Half Precision Score
12098
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 25 2024 05:54 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% |
1306
242.8 IPS |
|
|
Image Classification (HP)
|
100% |
5656
1.05 KIPS |
|
|
Image Classification (Q)
|
100% |
7752
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1799
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2337
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3096
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3470
4.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
29435
34.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
63469
74.3 IPS |
|
|
Object Detection (SP)
|
100% |
1260
99.9 IPS |
|
|
Object Detection (HP)
|
100% |
4885
387.5 IPS |
|
|
Object Detection (Q)
|
87% |
7536
604.8 IPS |
|
|
Face Detection (SP)
|
100% |
3133
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
12981
154.2 IPS |
|
|
Face Detection (Q)
|
100% |
20674
245.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3971
30.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
16949
130.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
30916
240.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10044
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
45657
58.7 IPS |
|
|
Style Transfer (Q)
|
98% |
81649
105.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1863
68.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12073
445.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21548
798.0 IPS |
|
|
Text Classification (SP)
|
100% |
648
865.2 IPS |
|
|
Text Classification (HP)
|
100% |
1858
2.48 KIPS |
|
|
Text Classification (Q)
|
92% |
1878
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1992
34.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2749
47.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2771
47.7 IPS |
