User | domdtxdissar |
Upload Date | July 30 2025 02:10 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% |
8349
1.55 KIPS |
|
Image Classification (HP)
|
100% |
8196
1.52 KIPS |
|
Image Classification (Q)
|
100% |
21026
3.91 KIPS |
|
Image Segmentation (SP)
|
100% |
11911
193.1 IPS |
|
Image Segmentation (HP)
|
100% |
11458
185.7 IPS |
|
Image Segmentation (Q)
|
99% |
34292
555.9 IPS |
|
Pose Estimation (SP)
|
100% |
35353
41.3 IPS |
|
Pose Estimation (HP)
|
100% |
35895
41.9 IPS |
|
Pose Estimation (Q)
|
98% |
142713
167.1 IPS |
|
Object Detection (SP)
|
100% |
9864
782.4 IPS |
|
Object Detection (HP)
|
100% |
9500
753.6 IPS |
|
Object Detection (Q)
|
88% |
22564
1.81 KIPS |
|
Face Detection (SP)
|
100% |
25860
307.3 IPS |
|
Face Detection (HP)
|
100% |
25142
298.7 IPS |
|
Face Detection (Q)
|
100% |
65840
782.3 IPS |
|
Depth Estimation (SP)
|
100% |
29759
229.3 IPS |
|
Depth Estimation (HP)
|
99% |
30076
231.7 IPS |
|
Depth Estimation (Q)
|
88% |
84895
660.8 IPS |
|
Style Transfer (SP)
|
100% |
89722
115.3 IPS |
|
Style Transfer (HP)
|
100% |
89838
115.5 IPS |
|
Style Transfer (Q)
|
98% |
326624
421.2 IPS |
|
Image Super-Resolution (SP)
|
100% |
16853
622.3 IPS |
|
Image Super-Resolution (HP)
|
100% |
16260
600.4 IPS |
|
Image Super-Resolution (Q)
|
99% |
43140
1.60 KIPS |
|
Text Classification (SP)
|
100% |
5499
7.34 KIPS |
|
Text Classification (HP)
|
100% |
5399
7.21 KIPS |
|
Text Classification (Q)
|
92% |
6236
8.38 KIPS |
|
Machine Translation (SP)
|
100% |
9648
166.2 IPS |
|
Machine Translation (HP)
|
100% |
9561
164.7 IPS |
|
Machine Translation (Q)
|
100% |
9984
172.0 IPS |