| User | Jobert |
| Upload Date | August 19 2025 09:48 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5902
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
1042
193.8 IPS |
|
|
Image Classification (Q)
|
99% |
14230
2.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2179
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1618
26.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
21485
349.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
29136
34.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18202
21.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
86466
101.4 IPS |
|
|
Object Detection (SP)
|
100% |
6463
512.7 IPS |
|
|
Object Detection (HP)
|
100% |
1290
102.3 IPS |
|
|
Object Detection (Q)
|
86% |
16116
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
11583
137.6 IPS |
|
|
Face Detection (HP)
|
100% |
2741
32.6 IPS |
|
|
Face Detection (Q)
|
97% |
16643
198.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
21201
163.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4714
36.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
37231
297.1 IPS |
|
|
Style Transfer (SP)
|
100% |
51505
66.2 IPS |
|
|
Style Transfer (HP)
|
100% |
40594
52.2 IPS |
|
|
Style Transfer (Q)
|
98% |
58780
75.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5261
194.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4067
150.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2254
83.5 IPS |
|
|
Text Classification (SP)
|
100% |
2512
3.35 KIPS |
|
|
Text Classification (HP)
|
100% |
1115
1.49 KIPS |
|
|
Text Classification (Q)
|
97% |
1990
2.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4192
72.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1434
24.7 IPS |
|
|
Machine Translation (Q)
|
65% |
5329
107.1 IPS |