| User | Rate |
| Upload Date | November 28 2025 09:11 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX PRO 6000 Blackwell Workstation Edition |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS WRX90E-SAGE SE |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper PRO 9965WX 24-Cores |
| Topology | 1 Processor, 24 Cores, 48 Threads |
| Identifier | AuthenticAMD Family 26 Model 8 Stepping 1 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 768.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15591
2.90 KIPS |
|
|
Image Classification (HP)
|
100% |
19901
3.70 KIPS |
|
|
Image Classification (Q)
|
100% |
13389
2.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
38933
631.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
49336
799.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
36363
591.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
414769
484.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
1020773
1.19 KIPS |
|
|
Pose Estimation (Q)
|
96% |
333732
390.9 IPS |
|
|
Object Detection (SP)
|
100% |
24174
1.92 KIPS |
|
|
Object Detection (HP)
|
100% |
31127
2.47 KIPS |
|
|
Object Detection (Q)
|
84% |
20029
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
76115
904.4 IPS |
|
|
Face Detection (HP)
|
100% |
97318
1.16 KIPS |
|
|
Face Detection (Q)
|
97% |
62544
745.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
116397
896.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
177310
1.37 KIPS |
|
|
Depth Estimation (Q)
|
77% |
82670
662.1 IPS |
|
|
Style Transfer (SP)
|
100% |
594192
763.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1732630
2.23 KIPS |
|
|
Style Transfer (Q)
|
98% |
554170
714.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
72126
2.66 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
94291
3.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49808
1.84 KIPS |
|
|
Text Classification (SP)
|
100% |
3549
4.74 KIPS |
|
|
Text Classification (HP)
|
100% |
3821
5.10 KIPS |
|
|
Text Classification (Q)
|
97% |
2022
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
7062
121.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7087
122.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3212
60.2 IPS |