| Upload Date | January 22 2026 09:46 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen Threadripper PRO 7985WX 64-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 | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper PRO 7985WX |
| Topology | 1 Processor, 64 Cores |
| Identifier | AuthenticAMD Family 25 Model 24 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 64 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5718
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
5852
1.09 KIPS |
|
|
Image Classification (Q)
|
100% |
11218
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10669
172.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10746
174.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
26270
425.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
38812
45.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
39957
46.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
163238
191.1 IPS |
|
|
Object Detection (SP)
|
100% |
7686
609.6 IPS |
|
|
Object Detection (HP)
|
100% |
7702
610.9 IPS |
|
|
Object Detection (Q)
|
88% |
13583
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
19133
227.3 IPS |
|
|
Face Detection (HP)
|
100% |
18566
220.6 IPS |
|
|
Face Detection (Q)
|
100% |
37904
450.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
23379
180.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
23948
184.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
51251
398.8 IPS |
|
|
Style Transfer (SP)
|
100% |
97518
125.4 IPS |
|
|
Style Transfer (HP)
|
100% |
99237
127.6 IPS |
|
|
Style Transfer (Q)
|
98% |
312413
402.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14952
552.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14989
553.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26143
968.2 IPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2254
3.01 KIPS |
|
|
Text Classification (Q)
|
92% |
2551
3.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4265
73.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4382
75.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4207
72.5 IPS |