| Upload Date | November 25 2025 09:49 PM |
| Views | 17 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Education (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 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 | 192.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
18268
3.40 KIPS |
|
|
Image Classification (HP)
|
100% |
24064
4.48 KIPS |
|
|
Image Classification (Q)
|
100% |
15956
2.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
42888
695.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
56510
916.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
38390
624.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
415428
484.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
1071061
1.25 KIPS |
|
|
Pose Estimation (Q)
|
96% |
333982
391.2 IPS |
|
|
Object Detection (SP)
|
100% |
26648
2.11 KIPS |
|
|
Object Detection (HP)
|
100% |
35209
2.79 KIPS |
|
|
Object Detection (Q)
|
85% |
21645
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
79943
949.9 IPS |
|
|
Face Detection (HP)
|
100% |
109550
1.30 KIPS |
|
|
Face Detection (Q)
|
97% |
62833
749.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
110024
847.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
201317
1.55 KIPS |
|
|
Depth Estimation (Q)
|
77% |
79386
635.8 IPS |
|
|
Style Transfer (SP)
|
100% |
629439
809.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1821734
2.34 KIPS |
|
|
Style Transfer (Q)
|
98% |
522666
674.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
78313
2.89 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
102413
3.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56270
2.08 KIPS |
|
|
Text Classification (SP)
|
100% |
4390
5.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5279
7.05 KIPS |
|
|
Text Classification (Q)
|
97% |
2587
3.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
8094
139.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8153
140.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3368
63.2 IPS |