User | dynamiteCobra88 |
Upload Date | November 26 2024 03:14 PM |
Views | 6 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | GPU |
Device | Intel(R) Graphics (iGPU) |
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% |
3422
636.3 IPS |
|
Image Classification (HP)
|
100% |
5012
932.0 IPS |
|
Image Classification (Q)
|
100% |
6020
1.12 KIPS |
|
Image Segmentation (SP)
|
100% |
3563
57.8 IPS |
|
Image Segmentation (HP)
|
100% |
7440
120.6 IPS |
|
Image Segmentation (Q)
|
99% |
9761
158.2 IPS |
|
Pose Estimation (SP)
|
100% |
10489
12.2 IPS |
|
Pose Estimation (HP)
|
99% |
9948
11.6 IPS |
|
Pose Estimation (Q)
|
97% |
31643
37.0 IPS |
|
Object Detection (SP)
|
100% |
3009
238.7 IPS |
|
Object Detection (HP)
|
100% |
4754
377.1 IPS |
|
Object Detection (Q)
|
88% |
7161
573.8 IPS |
|
Face Detection (SP)
|
100% |
7080
84.1 IPS |
|
Face Detection (HP)
|
100% |
13637
162.0 IPS |
|
Face Detection (Q)
|
100% |
20175
239.7 IPS |
|
Depth Estimation (SP)
|
100% |
10407
80.2 IPS |
|
Depth Estimation (HP)
|
98% |
18211
140.8 IPS |
|
Depth Estimation (Q)
|
89% |
21579
167.7 IPS |
|
Style Transfer (SP)
|
100% |
27138
34.9 IPS |
|
Style Transfer (HP)
|
100% |
34917
44.9 IPS |
|
Style Transfer (Q)
|
98% |
77240
99.6 IPS |
|
Image Super-Resolution (SP)
|
100% |
4631
171.0 IPS |
|
Image Super-Resolution (HP)
|
100% |
8426
311.1 IPS |
|
Image Super-Resolution (Q)
|
99% |
12176
450.9 IPS |
|
Text Classification (SP)
|
71% |
1565
2.26 KIPS |
|
Text Classification (HP)
|
71% |
1982
2.87 KIPS |
|
Text Classification (Q)
|
92% |
2247
3.02 KIPS |
|
Machine Translation (SP)
|
100% |
1884
32.4 IPS |
|
Machine Translation (HP)
|
96% |
2634
45.5 IPS |
|
Machine Translation (Q)
|
100% |
2623
45.2 IPS |