| User | domdtxdissar |
| Upload Date | July 30 2025 02:04 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% |
8059
1.50 KIPS |
|
|
Image Classification (HP)
|
100% |
8745
1.63 KIPS |
|
|
Image Classification (Q)
|
100% |
20069
3.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12476
202.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13122
212.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
36805
596.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
35438
41.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
35971
42.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
140614
164.6 IPS |
|
|
Object Detection (SP)
|
100% |
10080
799.5 IPS |
|
|
Object Detection (HP)
|
100% |
9735
772.2 IPS |
|
|
Object Detection (Q)
|
88% |
22741
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
24191
287.4 IPS |
|
|
Face Detection (HP)
|
100% |
24932
296.2 IPS |
|
|
Face Detection (Q)
|
100% |
67506
802.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
30466
234.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
29512
227.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
81530
634.6 IPS |
|
|
Style Transfer (SP)
|
100% |
88578
113.9 IPS |
|
|
Style Transfer (HP)
|
100% |
88055
113.2 IPS |
|
|
Style Transfer (Q)
|
98% |
323209
416.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16635
614.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16474
608.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
44480
1.65 KIPS |
|
|
Text Classification (SP)
|
100% |
5081
6.78 KIPS |
|
|
Text Classification (HP)
|
100% |
5425
7.24 KIPS |
|
|
Text Classification (Q)
|
92% |
6151
8.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
9394
161.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9474
163.2 IPS |
|
|
Machine Translation (Q)
|
100% |
10399
179.1 IPS |