Upload Date | September 08 2025 03:31 AM |
Views | 2 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | 13th Gen Intel(R) Core(TM) i5-13600HRE |
System Information | |
---|---|
Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
Model | ADLINK Technology Inc. AVA-7200 |
Motherboard | ADLINK Technology Inc. AVA-7200 |
Power Plan | High performance |
CPU Information | |
---|---|
Name | 13th Gen Intel(R) Core(TM) i5-13600HRE |
Topology | 1 Processor, 12 Cores, 16 Threads |
Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
Base Frequency | 2.70 GHz |
Cluster 1 | 4 Cores |
Cluster 2 | 8 Cores |
Memory Information | |
---|---|
Size | 64.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1689
314.0 IPS |
|
Image Classification (HP)
|
100% |
1698
315.8 IPS |
|
Image Classification (Q)
|
100% |
1479
275.0 IPS |
|
Image Segmentation (SP)
|
100% |
2638
42.8 IPS |
|
Image Segmentation (HP)
|
100% |
2654
43.0 IPS |
|
Image Segmentation (Q)
|
99% |
1293
21.0 IPS |
|
Pose Estimation (SP)
|
100% |
4074
4.75 IPS |
|
Pose Estimation (HP)
|
100% |
4073
4.75 IPS |
|
Pose Estimation (Q)
|
96% |
3869
4.53 IPS |
|
Object Detection (SP)
|
100% |
796
63.1 IPS |
|
Object Detection (HP)
|
100% |
1811
143.6 IPS |
|
Object Detection (Q)
|
88% |
1538
123.3 IPS |
|
Face Detection (SP)
|
100% |
5379
63.9 IPS |
|
Face Detection (HP)
|
100% |
5371
63.8 IPS |
|
Face Detection (Q)
|
100% |
3364
40.0 IPS |
|
Depth Estimation (SP)
|
100% |
4881
37.6 IPS |
|
Depth Estimation (HP)
|
99% |
4894
37.7 IPS |
|
Depth Estimation (Q)
|
89% |
3782
29.4 IPS |
|
Style Transfer (SP)
|
100% |
11358
14.6 IPS |
|
Style Transfer (HP)
|
100% |
11361
14.6 IPS |
|
Style Transfer (Q)
|
98% |
10784
13.9 IPS |
|
Image Super-Resolution (SP)
|
100% |
2220
82.0 IPS |
|
Image Super-Resolution (HP)
|
100% |
2264
83.6 IPS |
|
Image Super-Resolution (Q)
|
99% |
2272
84.1 IPS |
|
Text Classification (SP)
|
100% |
1694
2.26 KIPS |
|
Text Classification (HP)
|
100% |
1735
2.32 KIPS |
|
Text Classification (Q)
|
92% |
1705
2.29 KIPS |
|
Machine Translation (SP)
|
100% |
2640
45.5 IPS |
|
Machine Translation (HP)
|
100% |
2517
43.3 IPS |
|
Machine Translation (Q)
|
100% |
2637
45.4 IPS |