| Upload Date | November 07 2025 05:48 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS ELITE WIFI7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8266
1.54 KIPS |
|
|
Image Classification (HP)
|
100% |
1139
211.8 IPS |
|
|
Image Classification (Q)
|
99% |
14524
2.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3193
51.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1739
28.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5170
84.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16699
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
12752
14.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
55763
65.4 IPS |
|
|
Object Detection (SP)
|
100% |
8312
659.3 IPS |
|
|
Object Detection (HP)
|
100% |
1495
118.6 IPS |
|
|
Object Detection (Q)
|
86% |
14743
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
19296
229.3 IPS |
|
|
Face Detection (HP)
|
100% |
3349
39.8 IPS |
|
|
Face Detection (Q)
|
97% |
15478
184.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
21786
167.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4743
36.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
37981
303.1 IPS |
|
|
Style Transfer (SP)
|
100% |
39417
50.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27688
35.6 IPS |
|
|
Style Transfer (Q)
|
98% |
46375
59.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6122
226.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4943
182.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6964
257.9 IPS |
|
|
Text Classification (SP)
|
100% |
3315
4.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1331
1.78 KIPS |
|
|
Text Classification (Q)
|
97% |
2628
3.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5069
87.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1313
22.6 IPS |
|
|
Machine Translation (Q)
|
65% |
5705
114.6 IPS |