| User | domdtxdissar | 
| Upload Date | July 30 2025 02:14 PM | 
| Views | 7 | 
| 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  |