| User | domdtxdissar |
| Upload Date | July 30 2025 02:07 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% |
8195
1.52 KIPS |
|
|
Image Classification (HP)
|
100% |
8095
1.51 KIPS |
|
|
Image Classification (Q)
|
100% |
20744
3.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11320
183.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12602
204.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
36126
585.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
36026
42.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
35953
42.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
141095
165.2 IPS |
|
|
Object Detection (SP)
|
100% |
9795
776.9 IPS |
|
|
Object Detection (HP)
|
100% |
9895
784.9 IPS |
|
|
Object Detection (Q)
|
88% |
22900
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
23660
281.1 IPS |
|
|
Face Detection (HP)
|
100% |
23439
278.5 IPS |
|
|
Face Detection (Q)
|
100% |
63855
758.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
31301
241.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
29492
227.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
80955
630.1 IPS |
|
|
Style Transfer (SP)
|
100% |
89233
114.7 IPS |
|
|
Style Transfer (HP)
|
100% |
90646
116.5 IPS |
|
|
Style Transfer (Q)
|
98% |
327406
422.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16324
602.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16706
616.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
42125
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
5327
7.11 KIPS |
|
|
Text Classification (HP)
|
100% |
5239
6.99 KIPS |
|
|
Text Classification (Q)
|
92% |
5924
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
9248
159.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9591
165.2 IPS |
|
|
Machine Translation (Q)
|
100% |
9965
171.6 IPS |