| User | PhillyBass |
| Upload Date | December 04 2025 01:57 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS MASTER |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3487
648.5 IPS |
|
|
Image Classification (HP)
|
100% |
587
109.1 IPS |
|
|
Image Classification (Q)
|
96% |
6078
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
828
13.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
8417
136.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11082
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
7266
8.48 IPS |
|
|
Pose Estimation (Q)
|
86% |
21262
25.1 IPS |
|
|
Object Detection (SP)
|
100% |
3593
285.0 IPS |
|
|
Object Detection (HP)
|
100% |
758
60.1 IPS |
|
|
Object Detection (Q)
|
58% |
4657
508.8 IPS |
|
|
Face Detection (SP)
|
100% |
7218
85.8 IPS |
|
|
Face Detection (HP)
|
100% |
1574
18.7 IPS |
|
|
Face Detection (Q)
|
96% |
9822
117.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11086
85.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2548
19.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
16703
133.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23544
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19472
25.0 IPS |
|
|
Style Transfer (Q)
|
87% |
21952
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2506
92.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1942
71.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3842
142.4 IPS |
|
|
Text Classification (SP)
|
100% |
1367
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
694
926.2 IPS |
|
|
Text Classification (Q)
|
97% |
1261
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2482
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
940
16.2 IPS |
|
|
Machine Translation (Q)
|
68% |
3033
58.6 IPS |