| Upload Date | November 13 2025 12:48 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870 EAGLE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. X870 EAGLE WIFI7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5155
958.6 IPS |
|
|
Image Classification (HP)
|
100% |
854
158.9 IPS |
|
|
Image Classification (Q)
|
99% |
12218
2.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2395
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1336
21.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5153
83.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
25384
29.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15192
17.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
73793
86.5 IPS |
|
|
Object Detection (SP)
|
100% |
5425
430.3 IPS |
|
|
Object Detection (HP)
|
100% |
1058
83.9 IPS |
|
|
Object Detection (Q)
|
86% |
13721
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
9745
115.8 IPS |
|
|
Face Detection (HP)
|
100% |
2459
29.2 IPS |
|
|
Face Detection (Q)
|
97% |
14688
175.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17830
137.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4005
30.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
29455
235.0 IPS |
|
|
Style Transfer (SP)
|
100% |
44628
57.4 IPS |
|
|
Style Transfer (HP)
|
100% |
30811
39.6 IPS |
|
|
Style Transfer (Q)
|
98% |
44305
57.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4771
176.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3395
125.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6238
231.0 IPS |
|
|
Text Classification (SP)
|
100% |
2332
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
963
1.28 KIPS |
|
|
Text Classification (Q)
|
97% |
1866
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3852
66.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1017
17.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4355
87.5 IPS |