| User | hArDsTyLe2259 |
| Upload Date | June 21 2025 04:14 AM |
| Views | 10 |
| 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-7C91 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550 TOMAHAWK (MS-7C91) |
| Power Plan | High performance |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2804
521.4 IPS |
|
|
Image Classification (HP)
|
100% |
481
89.4 IPS |
|
|
Image Classification (Q)
|
96% |
5532
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1609
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
699
11.3 IPS |
|
|
Image Segmentation (Q)
|
97% |
2953
48.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7669
8.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
5450
6.36 IPS |
|
|
Pose Estimation (Q)
|
86% |
16964
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
2964
235.1 IPS |
|
|
Object Detection (HP)
|
100% |
626
49.6 IPS |
|
|
Object Detection (Q)
|
58% |
4124
450.6 IPS |
|
|
Face Detection (SP)
|
100% |
5576
66.3 IPS |
|
|
Face Detection (HP)
|
100% |
1396
16.6 IPS |
|
|
Face Detection (Q)
|
96% |
9342
111.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8152
62.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2115
16.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
12431
99.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17814
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
14546
18.7 IPS |
|
|
Style Transfer (Q)
|
87% |
18890
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2106
77.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1842
68.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2938
108.9 IPS |
|
|
Text Classification (SP)
|
100% |
1262
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
585
781.2 IPS |
|
|
Text Classification (Q)
|
97% |
1307
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
2087
36.0 IPS |
|
|
Machine Translation (HP)
|
100% |
641
11.0 IPS |
|
|
Machine Translation (Q)
|
68% |
2990
57.8 IPS |