User | dynamiteCobra88 |
Upload Date | November 26 2024 04:10 PM |
Views | 5 |
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 |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1100
204.6 IPS |
|
Image Classification (HP)
|
100% |
5097
947.8 IPS |
|
Image Classification (Q)
|
100% |
6826
1.27 KIPS |
|
Image Segmentation (SP)
|
100% |
1689
27.4 IPS |
|
Image Segmentation (HP)
|
100% |
2351
38.1 IPS |
|
Image Segmentation (Q)
|
99% |
3003
48.7 IPS |
|
Pose Estimation (SP)
|
100% |
3251
3.79 IPS |
|
Pose Estimation (HP)
|
100% |
29123
34.0 IPS |
|
Pose Estimation (Q)
|
96% |
61736
72.3 IPS |
|
Object Detection (SP)
|
100% |
1076
85.4 IPS |
|
Object Detection (HP)
|
100% |
4524
358.9 IPS |
|
Object Detection (Q)
|
87% |
6593
529.2 IPS |
|
Face Detection (SP)
|
100% |
3850
45.7 IPS |
|
Face Detection (HP)
|
100% |
12577
149.4 IPS |
|
Face Detection (Q)
|
100% |
16849
200.2 IPS |
|
Depth Estimation (SP)
|
100% |
2558
19.7 IPS |
|
Depth Estimation (HP)
|
99% |
16367
126.1 IPS |
|
Depth Estimation (Q)
|
88% |
30395
236.5 IPS |
|
Style Transfer (SP)
|
100% |
8867
11.4 IPS |
|
Style Transfer (HP)
|
100% |
45235
58.2 IPS |
|
Style Transfer (Q)
|
98% |
79840
103.0 IPS |
|
Image Super-Resolution (SP)
|
100% |
1686
62.2 IPS |
|
Image Super-Resolution (HP)
|
100% |
11454
422.9 IPS |
|
Image Super-Resolution (Q)
|
99% |
20394
755.3 IPS |
|
Text Classification (SP)
|
100% |
562
749.6 IPS |
|
Text Classification (HP)
|
100% |
1696
2.26 KIPS |
|
Text Classification (Q)
|
92% |
1717
2.31 KIPS |
|
Machine Translation (SP)
|
100% |
1517
26.1 IPS |
|
Machine Translation (HP)
|
100% |
2153
37.1 IPS |
|
Machine Translation (Q)
|
100% |
2558
44.1 IPS |