| User | Zerogreat |
| Upload Date | July 16 2025 12:55 PM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X570-E GAMING |
| Power Plan | Rovnovha |
| 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% |
2976
553.5 IPS |
|
|
Image Classification (HP)
|
100% |
561
104.3 IPS |
|
|
Image Classification (Q)
|
96% |
5478
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1756
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
797
12.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
7441
121.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7752
9.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
5764
6.73 IPS |
|
|
Pose Estimation (Q)
|
86% |
16871
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
2813
223.1 IPS |
|
|
Object Detection (HP)
|
100% |
702
55.7 IPS |
|
|
Object Detection (Q)
|
58% |
4200
458.9 IPS |
|
|
Face Detection (SP)
|
100% |
5796
68.9 IPS |
|
|
Face Detection (HP)
|
100% |
1514
18.0 IPS |
|
|
Face Detection (Q)
|
96% |
9274
110.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8356
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2200
16.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
13055
104.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17866
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
14219
18.3 IPS |
|
|
Style Transfer (Q)
|
87% |
18110
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2175
80.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1860
68.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3501
129.7 IPS |
|
|
Text Classification (SP)
|
100% |
1381
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
686
915.5 IPS |
|
|
Text Classification (Q)
|
97% |
1172
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2331
40.2 IPS |
|
|
Machine Translation (HP)
|
100% |
907
15.6 IPS |
|
|
Machine Translation (Q)
|
68% |
2862
55.3 IPS |