| User | tatny23 |
| Upload Date | August 08 2025 08:47 PM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7A33 |
| Motherboard | Micro-Star International Co., Ltd. X370 SLI PLUS (MS-7A33) |
| Power Plan | Balanced |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2601
483.7 IPS |
|
|
Image Classification (HP)
|
100% |
535
99.4 IPS |
|
|
Image Classification (Q)
|
96% |
5071
946.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1457
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
712
11.5 IPS |
|
|
Image Segmentation (Q)
|
97% |
7224
117.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6366
7.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
5171
6.03 IPS |
|
|
Pose Estimation (Q)
|
86% |
15930
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2715
215.3 IPS |
|
|
Object Detection (HP)
|
100% |
666
52.8 IPS |
|
|
Object Detection (Q)
|
58% |
3762
411.1 IPS |
|
|
Face Detection (SP)
|
100% |
5639
67.0 IPS |
|
|
Face Detection (HP)
|
100% |
1423
16.9 IPS |
|
|
Face Detection (Q)
|
96% |
8929
106.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7303
56.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2132
16.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
11894
94.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15088
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13100
16.8 IPS |
|
|
Style Transfer (Q)
|
87% |
18087
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1978
73.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1806
66.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3330
123.4 IPS |
|
|
Text Classification (SP)
|
100% |
1349
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
688
918.1 IPS |
|
|
Text Classification (Q)
|
97% |
1177
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2049
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
872
15.0 IPS |
|
|
Machine Translation (Q)
|
68% |
2610
50.4 IPS |