Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
1320
Single Precision Score
7048
Half Precision Score
10170
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 26 2024 10:24 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% |
745
138.6 IPS |
|
|
Image Classification (HP)
|
100% |
4323
803.9 IPS |
|
|
Image Classification (Q)
|
100% |
5571
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1334
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2222
36.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2961
48.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2059
2.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
28881
33.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
60179
70.5 IPS |
|
|
Object Detection (SP)
|
100% |
753
59.8 IPS |
|
|
Object Detection (HP)
|
100% |
4555
361.3 IPS |
|
|
Object Detection (Q)
|
87% |
6048
485.4 IPS |
|
|
Face Detection (SP)
|
100% |
1772
21.1 IPS |
|
|
Face Detection (HP)
|
100% |
11050
131.3 IPS |
|
|
Face Detection (Q)
|
100% |
16734
198.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2284
17.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
16126
124.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
29406
228.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5964
7.67 IPS |
|
|
Style Transfer (HP)
|
100% |
43721
56.2 IPS |
|
|
Style Transfer (Q)
|
98% |
79960
103.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1097
40.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10963
404.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18093
670.1 IPS |
|
|
Text Classification (SP)
|
100% |
379
506.1 IPS |
|
|
Text Classification (HP)
|
100% |
1386
1.85 KIPS |
|
|
Text Classification (Q)
|
92% |
1426
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1039
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2023
34.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1942
33.5 IPS |
