User | domdtxdissar |
Upload Date | July 30 2025 02:13 PM |
Views | 6 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | AMD EPYC 4585PX 16-Core Processor |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E APEX |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | AMD EPYC 4585PX 16-Core Processor |
Topology | 1 Processor, 16 Cores, 32 Threads |
Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
Base Frequency | 4.30 GHz |
Cluster 1 | 16 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
7912
1.47 KIPS |
|
Image Classification (HP)
|
100% |
7976
1.48 KIPS |
|
Image Classification (Q)
|
100% |
19834
3.69 KIPS |
|
Image Segmentation (SP)
|
100% |
12071
195.7 IPS |
|
Image Segmentation (HP)
|
100% |
12084
195.9 IPS |
|
Image Segmentation (Q)
|
99% |
36667
594.4 IPS |
|
Pose Estimation (SP)
|
100% |
35969
42.0 IPS |
|
Pose Estimation (HP)
|
100% |
35674
41.6 IPS |
|
Pose Estimation (Q)
|
98% |
140996
165.1 IPS |
|
Object Detection (SP)
|
100% |
9175
727.8 IPS |
|
Object Detection (HP)
|
100% |
9966
790.5 IPS |
|
Object Detection (Q)
|
88% |
22308
1.79 KIPS |
|
Face Detection (SP)
|
100% |
24560
291.8 IPS |
|
Face Detection (HP)
|
100% |
24481
290.9 IPS |
|
Face Detection (Q)
|
100% |
64617
767.8 IPS |
|
Depth Estimation (SP)
|
100% |
31255
240.8 IPS |
|
Depth Estimation (HP)
|
99% |
29902
230.4 IPS |
|
Depth Estimation (Q)
|
88% |
80841
629.2 IPS |
|
Style Transfer (SP)
|
100% |
88828
114.2 IPS |
|
Style Transfer (HP)
|
100% |
90504
116.3 IPS |
|
Style Transfer (Q)
|
98% |
326586
421.1 IPS |
|
Image Super-Resolution (SP)
|
100% |
16504
609.4 IPS |
|
Image Super-Resolution (HP)
|
100% |
16418
606.2 IPS |
|
Image Super-Resolution (Q)
|
99% |
43692
1.62 KIPS |
|
Text Classification (SP)
|
100% |
5314
7.09 KIPS |
|
Text Classification (HP)
|
100% |
5211
6.96 KIPS |
|
Text Classification (Q)
|
92% |
6484
8.71 KIPS |
|
Machine Translation (SP)
|
100% |
9379
161.6 IPS |
|
Machine Translation (HP)
|
100% |
9592
165.2 IPS |
|
Machine Translation (Q)
|
100% |
10206
175.8 IPS |