Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2040
Single Precision Score
7210
Half Precision Score
10511
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 26 2024 10:17 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% |
1099
204.4 IPS |
|
|
Image Classification (HP)
|
100% |
4548
845.8 IPS |
|
|
Image Classification (Q)
|
100% |
5298
985.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1228
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2217
35.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2978
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3210
3.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
29132
34.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
61583
72.1 IPS |
|
|
Object Detection (SP)
|
100% |
1248
99.0 IPS |
|
|
Object Detection (HP)
|
100% |
4174
331.1 IPS |
|
|
Object Detection (Q)
|
87% |
6318
507.1 IPS |
|
|
Face Detection (SP)
|
100% |
3760
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
11783
140.0 IPS |
|
|
Face Detection (Q)
|
100% |
17771
211.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3916
30.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
16085
123.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
28579
222.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9846
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
44140
56.7 IPS |
|
|
Style Transfer (Q)
|
98% |
77854
100.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1481
54.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10445
385.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18608
689.1 IPS |
|
|
Text Classification (SP)
|
100% |
635
847.5 IPS |
|
|
Text Classification (HP)
|
100% |
1751
2.34 KIPS |
|
|
Text Classification (Q)
|
92% |
1695
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1696
29.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2025
34.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2152
37.1 IPS |
