| Upload Date | January 17 2026 12:36 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570S AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. X570S AORUS MASTER |
| 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% |
3062
569.4 IPS |
|
|
Image Classification (HP)
|
100% |
602
112.0 IPS |
|
|
Image Classification (Q)
|
96% |
5724
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1594
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
845
13.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
7720
125.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9748
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
6769
7.90 IPS |
|
|
Pose Estimation (Q)
|
86% |
18233
21.6 IPS |
|
|
Object Detection (SP)
|
100% |
3465
274.8 IPS |
|
|
Object Detection (HP)
|
100% |
777
61.6 IPS |
|
|
Object Detection (Q)
|
58% |
4451
486.3 IPS |
|
|
Face Detection (SP)
|
100% |
7151
85.0 IPS |
|
|
Face Detection (HP)
|
100% |
1624
19.3 IPS |
|
|
Face Detection (Q)
|
96% |
9585
114.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10128
78.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2461
19.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
13821
110.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20947
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
16826
21.6 IPS |
|
|
Style Transfer (Q)
|
87% |
21228
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2459
90.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2079
76.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3614
133.9 IPS |
|
|
Text Classification (SP)
|
100% |
1456
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
731
975.8 IPS |
|
|
Text Classification (Q)
|
97% |
1202
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2394
41.2 IPS |
|
|
Machine Translation (HP)
|
100% |
970
16.7 IPS |
|
|
Machine Translation (Q)
|
68% |
2934
56.7 IPS |