| Upload Date | November 14 2025 03:15 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% |
5275
981.0 IPS |
|
|
Image Classification (HP)
|
100% |
847
157.6 IPS |
|
|
Image Classification (Q)
|
99% |
12431
2.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2794
45.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1362
22.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5211
84.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
27155
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
16224
18.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
75767
88.8 IPS |
|
|
Object Detection (SP)
|
100% |
5504
436.6 IPS |
|
|
Object Detection (HP)
|
100% |
1086
86.1 IPS |
|
|
Object Detection (Q)
|
86% |
14503
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
9869
117.3 IPS |
|
|
Face Detection (HP)
|
100% |
2455
29.2 IPS |
|
|
Face Detection (Q)
|
97% |
14924
177.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16828
129.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4077
31.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
29262
233.5 IPS |
|
|
Style Transfer (SP)
|
100% |
43485
55.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36415
46.8 IPS |
|
|
Style Transfer (Q)
|
98% |
45385
58.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4800
177.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3616
133.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6386
236.5 IPS |
|
|
Text Classification (SP)
|
100% |
2348
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
922
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
2012
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3867
66.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1022
17.6 IPS |
|
|
Machine Translation (Q)
|
65% |
5532
111.2 IPS |