| User | jimmythebutcher |
| Upload Date | March 17 2026 01:16 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870M AORUS ELITE WIFI7 ICE |
| Motherboard | Gigabyte Technology Co., Ltd. X870M AORUS ELITE WIFI7 ICE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X3D |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4851
902.1 IPS |
|
|
Image Classification (HP)
|
100% |
844
157.0 IPS |
|
|
Image Classification (Q)
|
99% |
11596
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2032
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1390
22.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
17232
280.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15738
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
11735
13.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
65028
76.2 IPS |
|
|
Object Detection (SP)
|
100% |
4633
367.5 IPS |
|
|
Object Detection (HP)
|
100% |
1047
83.0 IPS |
|
|
Object Detection (Q)
|
86% |
13505
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
9427
112.0 IPS |
|
|
Face Detection (HP)
|
100% |
2332
27.7 IPS |
|
|
Face Detection (Q)
|
97% |
14089
168.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15850
122.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3799
29.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
28775
229.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30726
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
25356
32.6 IPS |
|
|
Style Transfer (Q)
|
98% |
50636
65.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3803
140.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3322
122.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2871
106.3 IPS |
|
|
Text Classification (SP)
|
100% |
2116
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
1009
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1808
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3821
65.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1295
22.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4565
91.7 IPS |