| User | ePortfel |
| Upload Date | April 22 2026 02:33 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ACTINA PC |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS WRX90E-SAGE SE |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper PRO 9975WX |
| Topology | 1 Processor, 32 Cores, 64 Threads |
| Identifier | AuthenticAMD Family 26 Model 8 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6065
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
9470
1.76 KIPS |
|
|
Image Classification (Q)
|
100% |
4952
920.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
16470
267.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
27760
450.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
14178
230.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
104775
122.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
280613
327.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
90128
105.6 IPS |
|
|
Object Detection (SP)
|
100% |
8845
701.6 IPS |
|
|
Object Detection (HP)
|
100% |
13626
1.08 KIPS |
|
|
Object Detection (Q)
|
84% |
7354
593.4 IPS |
|
|
Face Detection (SP)
|
100% |
29310
348.3 IPS |
|
|
Face Detection (HP)
|
100% |
49131
583.8 IPS |
|
|
Face Detection (Q)
|
97% |
23527
280.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
35280
271.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
57428
442.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
26381
211.3 IPS |
|
|
Style Transfer (SP)
|
100% |
154883
199.1 IPS |
|
|
Style Transfer (HP)
|
100% |
575786
740.2 IPS |
|
|
Style Transfer (Q)
|
98% |
141142
182.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22212
820.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34728
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16217
600.5 IPS |
|
|
Text Classification (SP)
|
100% |
1608
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
2250
3.00 KIPS |
|
|
Text Classification (Q)
|
97% |
911
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3541
61.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3531
61.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1150
21.6 IPS |