Upload Date | January 06 2025 07:16 AM |
Views | 4 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | GPU |
Device | Intel(R) Arc(TM) Graphics (iGPU) |
System Information | |
---|---|
Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
Model | Intel Corporation Meteor Lake Client Platform |
Motherboard | Intel Corporation MTL-P DDR5 SODIMM SBS RVP |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | Intel Core Ultra 5 125H |
Topology | 1 Processor, 14 Cores, 18 Threads |
Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
Base Frequency | 3.60 GHz |
Cluster 1 | 4 Cores |
Cluster 2 | 10 Cores |
Memory Information | |
---|---|
Size | 16.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
5483
1.02 KIPS |
|
Image Classification (HP)
|
100% |
8119
1.51 KIPS |
|
Image Classification (Q)
|
100% |
9250
1.72 KIPS |
|
Image Segmentation (SP)
|
100% |
4306
69.8 IPS |
|
Image Segmentation (HP)
|
100% |
10244
166.1 IPS |
|
Image Segmentation (Q)
|
99% |
13961
226.3 IPS |
|
Pose Estimation (SP)
|
100% |
22133
25.8 IPS |
|
Pose Estimation (HP)
|
99% |
19074
22.3 IPS |
|
Pose Estimation (Q)
|
97% |
65579
76.8 IPS |
|
Object Detection (SP)
|
100% |
5062
401.5 IPS |
|
Object Detection (HP)
|
100% |
8092
641.9 IPS |
|
Object Detection (Q)
|
88% |
11572
927.4 IPS |
|
Face Detection (SP)
|
100% |
8401
99.8 IPS |
|
Face Detection (HP)
|
100% |
17414
206.9 IPS |
|
Face Detection (Q)
|
100% |
28710
341.1 IPS |
|
Depth Estimation (SP)
|
100% |
18695
144.0 IPS |
|
Depth Estimation (HP)
|
98% |
32810
253.6 IPS |
|
Depth Estimation (Q)
|
89% |
38033
295.6 IPS |
|
Style Transfer (SP)
|
100% |
50708
65.2 IPS |
|
Style Transfer (HP)
|
100% |
68180
87.6 IPS |
|
Style Transfer (Q)
|
98% |
151017
194.7 IPS |
|
Image Super-Resolution (SP)
|
100% |
8810
325.3 IPS |
|
Image Super-Resolution (HP)
|
100% |
15083
556.9 IPS |
|
Image Super-Resolution (Q)
|
99% |
21174
784.1 IPS |
|
Text Classification (SP)
|
71% |
1564
2.26 KIPS |
|
Text Classification (HP)
|
71% |
2743
3.97 KIPS |
|
Text Classification (Q)
|
92% |
2500
3.36 KIPS |
|
Machine Translation (SP)
|
100% |
2372
40.9 IPS |
|
Machine Translation (HP)
|
96% |
3138
54.3 IPS |
|
Machine Translation (Q)
|
100% |
3185
54.9 IPS |