| Upload Date | October 23 2025 11:57 AM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X470-PRO |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2476
460.4 IPS |
|
|
Image Classification (HP)
|
100% |
521
96.8 IPS |
|
|
Image Classification (Q)
|
96% |
4420
825.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1731
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
713
11.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
5353
87.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5540
6.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
4664
5.44 IPS |
|
|
Pose Estimation (Q)
|
86% |
10950
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
2574
204.1 IPS |
|
|
Object Detection (HP)
|
100% |
673
53.3 IPS |
|
|
Object Detection (Q)
|
58% |
4219
461.0 IPS |
|
|
Face Detection (SP)
|
100% |
5781
68.7 IPS |
|
|
Face Detection (HP)
|
100% |
1483
17.6 IPS |
|
|
Face Detection (Q)
|
96% |
9208
109.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7408
57.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2157
16.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
12342
98.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16011
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12955
16.7 IPS |
|
|
Style Transfer (Q)
|
87% |
18910
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2005
74.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1940
71.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3460
128.2 IPS |
|
|
Text Classification (SP)
|
100% |
1424
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
695
928.3 IPS |
|
|
Text Classification (Q)
|
97% |
1139
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2160
37.2 IPS |
|
|
Machine Translation (HP)
|
100% |
898
15.5 IPS |
|
|
Machine Translation (Q)
|
68% |
2697
52.1 IPS |