| User | sultz |
| Upload Date | April 13 2025 04:41 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen Threadripper PRO 7965WX 24-Cores |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS WRX90E-SAGE SE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper PRO 7965WX 24-Cores |
| Topology | 1 Processor, 24 Cores, 48 Threads |
| Identifier | AuthenticAMD Family 25 Model 24 Stepping 1 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 512.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5542
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
5439
1.01 KIPS |
|
|
Image Classification (Q)
|
100% |
10978
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8082
131.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8009
129.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18738
303.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
21880
25.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
22095
25.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
84332
98.7 IPS |
|
|
Object Detection (SP)
|
100% |
6620
525.1 IPS |
|
|
Object Detection (HP)
|
100% |
6622
525.3 IPS |
|
|
Object Detection (Q)
|
88% |
12674
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
14805
175.9 IPS |
|
|
Face Detection (HP)
|
100% |
14702
174.7 IPS |
|
|
Face Detection (Q)
|
100% |
37471
445.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17821
137.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17899
137.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
40895
318.3 IPS |
|
|
Style Transfer (SP)
|
100% |
55189
70.9 IPS |
|
|
Style Transfer (HP)
|
100% |
55649
71.5 IPS |
|
|
Style Transfer (Q)
|
98% |
183945
237.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9645
356.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9726
359.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23676
876.8 IPS |
|
|
Text Classification (SP)
|
100% |
2990
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
2905
3.88 KIPS |
|
|
Text Classification (Q)
|
92% |
2817
3.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
5016
86.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4905
84.5 IPS |
|
|
Machine Translation (Q)
|
100% |
5390
92.8 IPS |