| User | Strix_263 |
| Upload Date | March 08 2025 11:49 AM |
| Views | 17 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X670E-F GAMING WIFI |
| Power Plan | Ultimative Leistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X 12-Core Processor |
| 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 | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4096
761.7 IPS |
|
|
Image Classification (HP)
|
100% |
691
128.5 IPS |
|
|
Image Classification (Q)
|
99% |
10152
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2223
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1165
18.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4412
71.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12771
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10648
12.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
56860
66.7 IPS |
|
|
Object Detection (SP)
|
100% |
4087
324.2 IPS |
|
|
Object Detection (HP)
|
100% |
889
70.5 IPS |
|
|
Object Detection (Q)
|
86% |
11706
940.8 IPS |
|
|
Face Detection (SP)
|
100% |
8284
98.4 IPS |
|
|
Face Detection (HP)
|
100% |
1968
23.4 IPS |
|
|
Face Detection (Q)
|
97% |
12708
151.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12354
95.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3317
25.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
21996
175.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25814
33.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23490
30.2 IPS |
|
|
Style Transfer (Q)
|
98% |
42777
55.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3246
119.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2832
104.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4920
182.2 IPS |
|
|
Text Classification (SP)
|
100% |
2095
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
887
1.18 KIPS |
|
|
Text Classification (Q)
|
97% |
1863
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2812
48.4 IPS |
|
|
Machine Translation (HP)
|
100% |
877
15.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3780
76.0 IPS |