| User | Orkeyfy |
| Upload Date | January 06 2026 09:08 PM |
| Views | 5 |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4317
802.8 IPS |
|
|
Image Classification (HP)
|
100% |
617
114.8 IPS |
|
|
Image Classification (Q)
|
99% |
9340
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2445
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
819
13.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
14040
228.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11764
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9490
11.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
42733
50.1 IPS |
|
|
Object Detection (SP)
|
100% |
4324
343.0 IPS |
|
|
Object Detection (HP)
|
100% |
789
62.6 IPS |
|
|
Object Detection (Q)
|
86% |
10557
848.4 IPS |
|
|
Face Detection (SP)
|
100% |
8453
100.4 IPS |
|
|
Face Detection (HP)
|
100% |
1570
18.7 IPS |
|
|
Face Detection (Q)
|
97% |
11634
138.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12934
99.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2958
22.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
24159
192.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25235
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23386
30.1 IPS |
|
|
Style Transfer (Q)
|
98% |
45831
59.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2747
101.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2425
89.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5212
193.0 IPS |
|
|
Text Classification (SP)
|
100% |
1586
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
817
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1398
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2991
51.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1055
18.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3841
77.2 IPS |