Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2152
Single Precision Score
8076
Half Precision Score
12113
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 29 2024 01:52 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% |
1264
235.1 IPS |
|
|
Image Classification (HP)
|
100% |
5733
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
7841
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1795
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2352
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3121
50.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3291
3.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
29588
34.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
63466
74.3 IPS |
|
|
Object Detection (SP)
|
100% |
1264
100.2 IPS |
|
|
Object Detection (HP)
|
100% |
4926
390.7 IPS |
|
|
Object Detection (Q)
|
87% |
7570
607.5 IPS |
|
|
Face Detection (SP)
|
100% |
3757
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
12993
154.4 IPS |
|
|
Face Detection (Q)
|
100% |
20731
246.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3920
30.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
16560
127.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
30946
240.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9597
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
45466
58.4 IPS |
|
|
Style Transfer (Q)
|
98% |
81832
105.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1683
62.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12136
448.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21675
802.7 IPS |
|
|
Text Classification (SP)
|
100% |
606
809.5 IPS |
|
|
Text Classification (HP)
|
100% |
1852
2.47 KIPS |
|
|
Text Classification (Q)
|
92% |
1862
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1572
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2733
47.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2730
47.0 IPS |
