Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2211
Single Precision Score
8014
Half Precision Score
12047
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 29 2024 12:04 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% |
1265
235.3 IPS |
|
|
Image Classification (HP)
|
100% |
5797
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
7891
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1730
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2289
37.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3101
50.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3380
3.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
29510
34.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
63474
74.4 IPS |
|
|
Object Detection (SP)
|
100% |
1288
102.2 IPS |
|
|
Object Detection (HP)
|
100% |
4909
389.4 IPS |
|
|
Object Detection (Q)
|
87% |
7629
612.3 IPS |
|
|
Face Detection (SP)
|
100% |
3720
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
12514
148.7 IPS |
|
|
Face Detection (Q)
|
100% |
20580
244.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3892
30.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
16787
129.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
30364
236.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9743
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
45576
58.6 IPS |
|
|
Style Transfer (Q)
|
98% |
81568
105.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1779
65.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12110
447.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21233
786.3 IPS |
|
|
Text Classification (SP)
|
100% |
621
828.3 IPS |
|
|
Text Classification (HP)
|
100% |
1851
2.47 KIPS |
|
|
Text Classification (Q)
|
92% |
1883
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1881
32.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2650
45.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2667
45.9 IPS |
