| User | mphisto |
| Upload Date | October 17 2025 04:24 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS ELITE |
| Power Plan | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1954
363.5 IPS |
|
|
Image Classification (HP)
|
100% |
414
77.0 IPS |
|
|
Image Classification (Q)
|
96% |
4521
844.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1451
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
663
10.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
5678
92.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5299
6.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
4328
5.05 IPS |
|
|
Pose Estimation (Q)
|
86% |
13235
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1953
154.9 IPS |
|
|
Object Detection (HP)
|
100% |
558
44.2 IPS |
|
|
Object Detection (Q)
|
58% |
3683
402.4 IPS |
|
|
Face Detection (SP)
|
100% |
4231
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
1231
14.6 IPS |
|
|
Face Detection (Q)
|
96% |
8009
95.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6056
46.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1844
14.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
10421
83.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12112
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10447
13.4 IPS |
|
|
Style Transfer (Q)
|
87% |
13791
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1535
56.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1351
49.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3021
112.0 IPS |
|
|
Text Classification (SP)
|
100% |
1085
1.45 KIPS |
|
|
Text Classification (HP)
|
100% |
570
760.7 IPS |
|
|
Text Classification (Q)
|
97% |
979
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1681
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
715
12.3 IPS |
|
|
Machine Translation (Q)
|
68% |
2475
47.8 IPS |