| User | 11eaven |
| Upload Date | November 19 2025 11:54 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5777
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
992
184.4 IPS |
|
|
Image Classification (Q)
|
99% |
12850
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2482
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1555
25.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
20787
338.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
27127
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
16484
19.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
82345
96.5 IPS |
|
|
Object Detection (SP)
|
100% |
5985
474.8 IPS |
|
|
Object Detection (HP)
|
100% |
1228
97.4 IPS |
|
|
Object Detection (Q)
|
86% |
14441
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
11540
137.1 IPS |
|
|
Face Detection (HP)
|
100% |
2591
30.8 IPS |
|
|
Face Detection (Q)
|
97% |
16301
194.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20328
156.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4541
35.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
32813
261.8 IPS |
|
|
Style Transfer (SP)
|
100% |
48065
61.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37215
47.8 IPS |
|
|
Style Transfer (Q)
|
98% |
55001
70.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4638
171.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3626
133.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2776
102.8 IPS |
|
|
Text Classification (SP)
|
100% |
2207
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
1058
1.41 KIPS |
|
|
Text Classification (Q)
|
97% |
1896
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3666
63.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1374
23.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4639
93.2 IPS |