| User | steven_ma |
| Upload Date | March 11 2026 11:43 PM |
| Views | 17 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT (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 | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4628
860.6 IPS |
|
|
Image Classification (HP)
|
100% |
895
166.4 IPS |
|
|
Image Classification (Q)
|
99% |
11972
2.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2326
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1391
22.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
18841
306.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18949
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
13415
15.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
73962
86.7 IPS |
|
|
Object Detection (SP)
|
100% |
4852
384.9 IPS |
|
|
Object Detection (HP)
|
100% |
1119
88.7 IPS |
|
|
Object Detection (Q)
|
86% |
13907
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
8712
103.5 IPS |
|
|
Face Detection (HP)
|
100% |
2247
26.7 IPS |
|
|
Face Detection (Q)
|
97% |
14546
173.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
15904
122.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4060
31.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
29781
237.6 IPS |
|
|
Style Transfer (SP)
|
100% |
35764
46.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29430
37.8 IPS |
|
|
Style Transfer (Q)
|
98% |
44252
57.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3942
145.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3358
124.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2656
98.3 IPS |
|
|
Text Classification (SP)
|
100% |
2091
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
986
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1749
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3151
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1265
21.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3989
80.2 IPS |