User | dynamiteCobra88 |
Upload Date | January 16 2025 06:16 PM |
Views | 2 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | GPU |
Device | Intel(R) Graphics (iGPU) |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro Insider Preview (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% |
3539
658.1 IPS |
|
Image Classification (HP)
|
100% |
4706
875.2 IPS |
|
Image Classification (Q)
|
100% |
6038
1.12 KIPS |
|
Image Segmentation (SP)
|
100% |
3659
59.3 IPS |
|
Image Segmentation (HP)
|
100% |
7063
114.5 IPS |
|
Image Segmentation (Q)
|
99% |
10141
164.4 IPS |
|
Pose Estimation (SP)
|
100% |
11319
13.2 IPS |
|
Pose Estimation (HP)
|
99% |
3116
3.65 IPS |
|
Pose Estimation (Q)
|
97% |
8239
9.65 IPS |
|
Object Detection (SP)
|
100% |
2977
236.1 IPS |
|
Object Detection (HP)
|
100% |
4851
384.8 IPS |
|
Object Detection (Q)
|
88% |
7183
575.7 IPS |
|
Face Detection (SP)
|
100% |
7592
90.2 IPS |
|
Face Detection (HP)
|
100% |
14024
166.6 IPS |
|
Face Detection (Q)
|
100% |
21183
251.7 IPS |
|
Depth Estimation (SP)
|
100% |
3749
28.9 IPS |
|
Depth Estimation (HP)
|
98% |
20024
154.8 IPS |
|
Depth Estimation (Q)
|
89% |
22871
177.8 IPS |
|
Style Transfer (SP)
|
100% |
28737
36.9 IPS |
|
Style Transfer (HP)
|
100% |
37337
48.0 IPS |
|
Style Transfer (Q)
|
98% |
79774
102.9 IPS |
|
Image Super-Resolution (SP)
|
100% |
4924
181.8 IPS |
|
Image Super-Resolution (HP)
|
100% |
8735
322.5 IPS |
|
Image Super-Resolution (Q)
|
99% |
12731
471.5 IPS |
|
Text Classification (SP)
|
71% |
1481
2.14 KIPS |
|
Text Classification (HP)
|
71% |
1981
2.87 KIPS |
|
Text Classification (Q)
|
92% |
2086
2.80 KIPS |
|
Machine Translation (SP)
|
100% |
1704
29.4 IPS |
|
Machine Translation (HP)
|
96% |
2314
40.0 IPS |
|
Machine Translation (Q)
|
100% |
2414
41.6 IPS |