| User | bluepill |
| Upload Date | February 28 2026 07:21 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PRO (WI-FI) |
| Power Plan | Balanced |
| 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 | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2522
469.1 IPS |
|
|
Image Classification (HP)
|
100% |
529
98.4 IPS |
|
|
Image Classification (Q)
|
96% |
5061
945.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
953
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
751
12.2 IPS |
|
|
Image Segmentation (Q)
|
97% |
6909
112.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7023
8.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
5354
6.25 IPS |
|
|
Pose Estimation (Q)
|
86% |
16151
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2436
193.2 IPS |
|
|
Object Detection (HP)
|
100% |
661
52.5 IPS |
|
|
Object Detection (Q)
|
58% |
3866
422.4 IPS |
|
|
Face Detection (SP)
|
100% |
4497
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
1365
16.2 IPS |
|
|
Face Detection (Q)
|
96% |
8501
101.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7216
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2127
16.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
11979
95.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15267
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13550
17.4 IPS |
|
|
Style Transfer (Q)
|
87% |
16295
21.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1942
71.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1749
64.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3460
128.2 IPS |
|
|
Text Classification (SP)
|
100% |
1238
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
629
839.6 IPS |
|
|
Text Classification (Q)
|
97% |
1079
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1856
32.0 IPS |
|
|
Machine Translation (HP)
|
100% |
839
14.4 IPS |
|
|
Machine Translation (Q)
|
68% |
2602
50.3 IPS |