| Upload Date | February 01 2026 03:36 PM |
| Views | 4 |
| 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 APEX |
| Power Plan | Balanced |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6297
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
1092
203.1 IPS |
|
|
Image Classification (Q)
|
99% |
14153
2.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2492
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1645
26.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
22905
372.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
28670
33.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17609
20.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
89582
105.0 IPS |
|
|
Object Detection (SP)
|
100% |
6472
513.4 IPS |
|
|
Object Detection (HP)
|
100% |
1332
105.7 IPS |
|
|
Object Detection (Q)
|
86% |
16535
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
12611
149.8 IPS |
|
|
Face Detection (HP)
|
100% |
2828
33.6 IPS |
|
|
Face Detection (Q)
|
97% |
16783
200.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
23267
179.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4807
37.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
39179
312.6 IPS |
|
|
Style Transfer (SP)
|
100% |
52468
67.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38955
50.1 IPS |
|
|
Style Transfer (Q)
|
98% |
64822
83.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4986
184.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4076
150.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2466
91.3 IPS |
|
|
Text Classification (SP)
|
100% |
2418
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
1078
1.44 KIPS |
|
|
Text Classification (Q)
|
97% |
2077
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
4201
72.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1469
25.3 IPS |
|
|
Machine Translation (Q)
|
65% |
5553
111.6 IPS |