| Upload Date | December 07 2025 10:03 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B850 AORUS ELITE WIFI7 ICE |
| Motherboard | Gigabyte Technology Co., Ltd. B850 AORUS ELITE WIFI7 ICE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4413
820.7 IPS |
|
|
Image Classification (HP)
|
100% |
950
176.6 IPS |
|
|
Image Classification (Q)
|
99% |
11241
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1893
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
11527
187.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8111
9.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
6676
7.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
33168
38.9 IPS |
|
|
Object Detection (SP)
|
100% |
4408
349.7 IPS |
|
|
Object Detection (HP)
|
100% |
1158
91.8 IPS |
|
|
Object Detection (Q)
|
86% |
11511
925.1 IPS |
|
|
Face Detection (SP)
|
100% |
8106
96.3 IPS |
|
|
Face Detection (HP)
|
100% |
2349
27.9 IPS |
|
|
Face Detection (Q)
|
97% |
12758
152.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10252
79.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3216
24.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
22579
180.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18539
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15002
19.3 IPS |
|
|
Style Transfer (Q)
|
98% |
32601
42.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3787
139.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3070
113.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6091
225.6 IPS |
|
|
Text Classification (SP)
|
100% |
3110
4.15 KIPS |
|
|
Text Classification (HP)
|
100% |
1369
1.83 KIPS |
|
|
Text Classification (Q)
|
97% |
2396
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3732
64.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1269
21.9 IPS |
|
|
Machine Translation (Q)
|
65% |
5478
110.1 IPS |