| Upload Date | October 23 2025 04:24 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS PRO X3D ICE |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS PRO X3D ICE |
| 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 | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5777
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
879
163.5 IPS |
|
|
Image Classification (Q)
|
99% |
14287
2.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3379
54.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1398
22.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5612
91.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
24786
28.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
15468
18.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
81592
95.7 IPS |
|
|
Object Detection (SP)
|
100% |
6223
493.6 IPS |
|
|
Object Detection (HP)
|
100% |
1112
88.2 IPS |
|
|
Object Detection (Q)
|
86% |
16516
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
10541
125.2 IPS |
|
|
Face Detection (HP)
|
100% |
2573
30.6 IPS |
|
|
Face Detection (Q)
|
97% |
16706
199.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
20949
161.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4449
34.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
35499
283.3 IPS |
|
|
Style Transfer (SP)
|
100% |
47366
60.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36069
46.4 IPS |
|
|
Style Transfer (Q)
|
98% |
56395
72.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5022
185.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3830
141.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6839
253.3 IPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
987
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
2117
2.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4142
71.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1079
18.6 IPS |
|
|
Machine Translation (Q)
|
65% |
5976
120.1 IPS |