| User | SpaceDok |
| Upload Date | June 28 2025 07:16 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS XTREME |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS XTREME |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2535
471.4 IPS |
|
|
Image Classification (HP)
|
100% |
513
95.3 IPS |
|
|
Image Classification (Q)
|
96% |
5594
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1522
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
705
11.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
2599
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6945
8.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
5262
6.14 IPS |
|
|
Pose Estimation (Q)
|
86% |
17956
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
2609
206.9 IPS |
|
|
Object Detection (HP)
|
100% |
581
46.1 IPS |
|
|
Object Detection (Q)
|
58% |
3880
424.0 IPS |
|
|
Face Detection (SP)
|
100% |
5459
64.9 IPS |
|
|
Face Detection (HP)
|
100% |
1365
16.2 IPS |
|
|
Face Detection (Q)
|
96% |
9196
109.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7927
61.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2189
16.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
13782
110.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16402
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13494
17.3 IPS |
|
|
Style Transfer (Q)
|
87% |
20033
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2053
75.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1735
64.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3277
121.4 IPS |
|
|
Text Classification (SP)
|
100% |
1211
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
612
816.8 IPS |
|
|
Text Classification (Q)
|
97% |
425
569.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2047
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
655
11.3 IPS |
|
|
Machine Translation (Q)
|
68% |
2729
52.7 IPS |