| Upload Date | November 23 2025 11:09 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E62 |
| Motherboard | Micro-Star International Co., Ltd. MAG B850 TOMAHAWK MAX WIFI (MS-7E62) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6855
1.27 KIPS |
|
|
Image Classification (HP)
|
100% |
1020
189.7 IPS |
|
|
Image Classification (Q)
|
99% |
13746
2.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2176
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1668
27.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
15628
254.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10970
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
8424
9.83 IPS |
|
|
Pose Estimation (Q)
|
94% |
47185
55.3 IPS |
|
|
Object Detection (SP)
|
100% |
6527
517.7 IPS |
|
|
Object Detection (HP)
|
100% |
1357
107.7 IPS |
|
|
Object Detection (Q)
|
86% |
14121
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
15169
180.2 IPS |
|
|
Face Detection (HP)
|
100% |
2890
34.3 IPS |
|
|
Face Detection (Q)
|
97% |
14672
174.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13814
106.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3625
27.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
31787
253.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24490
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
18171
23.4 IPS |
|
|
Style Transfer (Q)
|
98% |
41301
53.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4295
158.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3638
134.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7030
260.3 IPS |
|
|
Text Classification (SP)
|
100% |
3356
4.48 KIPS |
|
|
Text Classification (HP)
|
100% |
1403
1.87 KIPS |
|
|
Text Classification (Q)
|
97% |
2461
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
5103
87.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1526
26.3 IPS |
|
|
Machine Translation (Q)
|
65% |
5915
118.9 IPS |