User | domdtxdissar |
Upload Date | July 30 2025 02:14 PM |
Views | 5 |
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% |
8098
1.51 KIPS |
|
Image Classification (HP)
|
100% |
7942
1.48 KIPS |
|
Image Classification (Q)
|
100% |
20389
3.79 KIPS |
|
Image Segmentation (SP)
|
100% |
12640
204.9 IPS |
|
Image Segmentation (HP)
|
100% |
11456
185.7 IPS |
|
Image Segmentation (Q)
|
99% |
36454
590.9 IPS |
|
Pose Estimation (SP)
|
100% |
35559
41.5 IPS |
|
Pose Estimation (HP)
|
100% |
35590
41.5 IPS |
|
Pose Estimation (Q)
|
98% |
142082
166.3 IPS |
|
Object Detection (SP)
|
100% |
9799
777.2 IPS |
|
Object Detection (HP)
|
100% |
9494
753.1 IPS |
|
Object Detection (Q)
|
88% |
23560
1.89 KIPS |
|
Face Detection (SP)
|
100% |
23999
285.2 IPS |
|
Face Detection (HP)
|
100% |
26949
320.2 IPS |
|
Face Detection (Q)
|
100% |
65872
782.7 IPS |
|
Depth Estimation (SP)
|
100% |
32153
247.7 IPS |
|
Depth Estimation (HP)
|
99% |
30578
235.6 IPS |
|
Depth Estimation (Q)
|
88% |
83757
651.9 IPS |
|
Style Transfer (SP)
|
100% |
88852
114.2 IPS |
|
Style Transfer (HP)
|
100% |
89844
115.5 IPS |
|
Style Transfer (Q)
|
98% |
329925
425.4 IPS |
|
Image Super-Resolution (SP)
|
100% |
16362
604.2 IPS |
|
Image Super-Resolution (HP)
|
100% |
16622
613.8 IPS |
|
Image Super-Resolution (Q)
|
99% |
43342
1.61 KIPS |
|
Text Classification (SP)
|
100% |
5272
7.04 KIPS |
|
Text Classification (HP)
|
100% |
5262
7.02 KIPS |
|
Text Classification (Q)
|
92% |
6014
8.08 KIPS |
|
Machine Translation (SP)
|
100% |
9363
161.3 IPS |
|
Machine Translation (HP)
|
100% |
9499
163.6 IPS |
|
Machine Translation (Q)
|
100% |
10000
172.3 IPS |