| User | SiggiTron |
| Upload Date | December 03 2025 02:27 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900XT 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | Micro-Star International Co., Ltd. MS-7D54 |
| Motherboard | Micro-Star International Co., Ltd. MAG X570S TOMAHAWK MAX WIFI (MS-7D54) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900XT 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.98 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.26 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1796
334.0 IPS |
|
|
Image Classification (HP)
|
100% |
201
37.5 IPS |
|
|
Image Classification (Q)
|
94% |
5838
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1607
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
230
3.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
2730
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9914
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
6284
7.33 IPS |
|
|
Pose Estimation (Q)
|
86% |
19822
23.4 IPS |
|
|
Object Detection (SP)
|
100% |
1841
146.1 IPS |
|
|
Object Detection (HP)
|
100% |
270
21.4 IPS |
|
|
Object Detection (Q)
|
58% |
4591
501.6 IPS |
|
|
Face Detection (SP)
|
100% |
3089
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
413
4.90 IPS |
|
|
Face Detection (Q)
|
96% |
12442
148.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7980
61.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1253
9.65 IPS |
|
|
Depth Estimation (Q)
|
78% |
13980
111.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15419
19.8 IPS |
|
|
Style Transfer (HP)
|
100% |
16691
21.5 IPS |
|
|
Style Transfer (Q)
|
87% |
20284
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2874
106.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1914
70.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3038
112.6 IPS |
|
|
Text Classification (SP)
|
100% |
1398
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
556
741.9 IPS |
|
|
Text Classification (Q)
|
97% |
1448
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2064
35.5 IPS |
|
|
Machine Translation (HP)
|
100% |
596
10.3 IPS |
|
|
Machine Translation (Q)
|
68% |
3657
70.7 IPS |