| User | Jobert |
| Upload Date | August 19 2025 09:47 AM |
| Views | 11 |
| 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% |
5772
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
1051
195.5 IPS |
|
|
Image Classification (Q)
|
99% |
13833
2.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2265
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1619
26.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
20756
337.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
29692
34.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17438
20.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
90618
106.2 IPS |
|
|
Object Detection (SP)
|
100% |
6601
523.6 IPS |
|
|
Object Detection (HP)
|
100% |
1278
101.3 IPS |
|
|
Object Detection (Q)
|
86% |
16920
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
11509
136.8 IPS |
|
|
Face Detection (HP)
|
100% |
2707
32.2 IPS |
|
|
Face Detection (Q)
|
97% |
16158
192.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21485
165.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4710
36.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
33409
266.6 IPS |
|
|
Style Transfer (SP)
|
100% |
48693
62.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39260
50.5 IPS |
|
|
Style Transfer (Q)
|
98% |
59139
76.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5213
192.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3980
147.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2419
89.6 IPS |
|
|
Text Classification (SP)
|
100% |
2424
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
1047
1.40 KIPS |
|
|
Text Classification (Q)
|
97% |
2030
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4541
78.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1449
25.0 IPS |
|
|
Machine Translation (Q)
|
65% |
5275
106.0 IPS |