| User | arcashton |
| Upload Date | May 27 2025 06:36 AM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C35 |
| Motherboard | Micro-Star International Co., Ltd. MEG X570 UNIFY (MS-7C35) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3024
562.4 IPS |
|
|
Image Classification (HP)
|
100% |
589
109.5 IPS |
|
|
Image Classification (Q)
|
96% |
4655
869.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1873
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
796
12.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
2411
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5346
6.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
4683
5.46 IPS |
|
|
Pose Estimation (Q)
|
86% |
11376
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
2955
234.4 IPS |
|
|
Object Detection (HP)
|
100% |
730
57.9 IPS |
|
|
Object Detection (Q)
|
58% |
3312
361.9 IPS |
|
|
Face Detection (SP)
|
100% |
8171
97.1 IPS |
|
|
Face Detection (HP)
|
100% |
1542
18.3 IPS |
|
|
Face Detection (Q)
|
96% |
7334
87.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5953
45.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2324
17.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
11566
92.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14366
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11537
14.8 IPS |
|
|
Style Transfer (Q)
|
87% |
16035
20.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2581
95.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2048
75.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2870
106.3 IPS |
|
|
Text Classification (SP)
|
100% |
1543
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
741
988.9 IPS |
|
|
Text Classification (Q)
|
97% |
1408
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2365
40.7 IPS |
|
|
Machine Translation (HP)
|
100% |
681
11.7 IPS |
|
|
Machine Translation (Q)
|
68% |
2848
55.0 IPS |