| Upload Date | October 23 2025 04:34 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E12 |
| Motherboard | Micro-Star International Co., Ltd. MAG X670E TOMAHAWK WIFI (MS-7E12) |
| Power Plan | HP Recommended |
| 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% |
7269
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
1060
197.1 IPS |
|
|
Image Classification (Q)
|
99% |
14104
2.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2237
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1697
27.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
6744
109.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11520
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
9068
10.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
49535
58.1 IPS |
|
|
Object Detection (SP)
|
100% |
6896
547.0 IPS |
|
|
Object Detection (HP)
|
100% |
1263
100.2 IPS |
|
|
Object Detection (Q)
|
86% |
9049
727.3 IPS |
|
|
Face Detection (SP)
|
100% |
21051
250.1 IPS |
|
|
Face Detection (HP)
|
100% |
3007
35.7 IPS |
|
|
Face Detection (Q)
|
97% |
14024
167.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15699
121.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3993
30.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
36009
287.3 IPS |
|
|
Style Transfer (SP)
|
100% |
35246
45.3 IPS |
|
|
Style Transfer (HP)
|
100% |
20652
26.5 IPS |
|
|
Style Transfer (Q)
|
98% |
38931
50.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4192
154.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3982
147.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7114
263.4 IPS |
|
|
Text Classification (SP)
|
100% |
3469
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
1457
1.94 KIPS |
|
|
Text Classification (Q)
|
97% |
595
797.3 IPS |
|
|
Machine Translation (SP)
|
100% |
5588
96.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1561
26.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4851
97.5 IPS |