| User | Orkeyfy |
| Upload Date | January 06 2026 07:42 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3960
736.4 IPS |
|
|
Image Classification (HP)
|
100% |
607
112.9 IPS |
|
|
Image Classification (Q)
|
99% |
8948
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2297
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
814
13.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
12646
205.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11703
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
8571
10.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
40838
47.9 IPS |
|
|
Object Detection (SP)
|
100% |
4466
354.2 IPS |
|
|
Object Detection (HP)
|
100% |
777
61.7 IPS |
|
|
Object Detection (Q)
|
86% |
9829
790.0 IPS |
|
|
Face Detection (SP)
|
100% |
7814
92.8 IPS |
|
|
Face Detection (HP)
|
100% |
1615
19.2 IPS |
|
|
Face Detection (Q)
|
97% |
11734
139.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10500
80.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2454
18.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
20617
164.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20734
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
18988
24.4 IPS |
|
|
Style Transfer (Q)
|
98% |
30846
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3485
128.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2757
101.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5213
193.0 IPS |
|
|
Text Classification (SP)
|
100% |
1829
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
726
969.2 IPS |
|
|
Text Classification (Q)
|
97% |
1615
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3042
52.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1059
18.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4631
93.0 IPS |