| User | streber42 |
| Upload Date | April 07 2026 12:02 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen Threadripper PRO 5975WX 32-Cores |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.10 |
| Model | Puget Systems AMD Threadripper PRO WRX80 EATX |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS WRX80E-SAGE SE WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper PRO 5975WX |
| Topology | 1 Processor, 32 Cores, 64 Threads |
| Identifier | AuthenticAMD Family 25 Model 8 Stepping 2 |
| Base Frequency | 4.56 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 123.61 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5368
998.3 IPS |
|
|
Image Classification (HP)
|
100% |
5354
995.6 IPS |
|
|
Image Classification (Q)
|
100% |
7664
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9377
152.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9401
152.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
16588
269.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
22807
26.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
22843
26.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
50580
59.3 IPS |
|
|
Object Detection (SP)
|
100% |
6515
516.8 IPS |
|
|
Object Detection (HP)
|
100% |
6517
516.9 IPS |
|
|
Object Detection (Q)
|
87% |
9700
778.0 IPS |
|
|
Face Detection (SP)
|
100% |
14885
176.9 IPS |
|
|
Face Detection (HP)
|
100% |
14910
177.2 IPS |
|
|
Face Detection (Q)
|
97% |
33209
396.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
22088
170.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22103
170.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
33562
264.6 IPS |
|
|
Style Transfer (SP)
|
100% |
61688
79.3 IPS |
|
|
Style Transfer (HP)
|
100% |
61853
79.5 IPS |
|
|
Style Transfer (Q)
|
98% |
134433
173.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9901
365.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9978
368.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
18793
696.1 IPS |
|
|
Text Classification (SP)
|
100% |
3053
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3010
4.02 KIPS |
|
|
Text Classification (Q)
|
91% |
1079
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
4975
85.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4942
85.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4950
85.3 IPS |