| Upload Date | January 30 2026 11:52 PM |
| Views | 2 |
| 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 X570-P |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2842
528.5 IPS |
|
|
Image Classification (HP)
|
100% |
563
104.7 IPS |
|
|
Image Classification (Q)
|
96% |
5408
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1825
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
803
13.0 IPS |
|
|
Image Segmentation (Q)
|
97% |
7570
123.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6621
7.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
5284
6.17 IPS |
|
|
Pose Estimation (Q)
|
86% |
16161
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2802
222.2 IPS |
|
|
Object Detection (HP)
|
100% |
714
56.6 IPS |
|
|
Object Detection (Q)
|
58% |
4109
448.9 IPS |
|
|
Face Detection (SP)
|
100% |
5732
68.1 IPS |
|
|
Face Detection (HP)
|
100% |
1545
18.4 IPS |
|
|
Face Detection (Q)
|
96% |
9351
111.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7723
59.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2157
16.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
12960
103.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15743
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13528
17.4 IPS |
|
|
Style Transfer (Q)
|
87% |
20465
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2110
77.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1817
67.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3531
130.8 IPS |
|
|
Text Classification (SP)
|
100% |
1440
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
698
931.4 IPS |
|
|
Text Classification (Q)
|
97% |
1154
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2117
36.5 IPS |
|
|
Machine Translation (HP)
|
100% |
891
15.4 IPS |
|
|
Machine Translation (Q)
|
68% |
2804
54.2 IPS |