| User | chrixmix |
| Upload Date | September 06 2025 06:26 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650-PLUS WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X |
| 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% |
4799
892.4 IPS |
|
|
Image Classification (HP)
|
100% |
1022
190.0 IPS |
|
|
Image Classification (Q)
|
99% |
13078
2.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1628
26.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
19014
309.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
24072
28.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16723
19.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
73235
85.9 IPS |
|
|
Object Detection (SP)
|
100% |
6430
510.1 IPS |
|
|
Object Detection (HP)
|
100% |
1276
101.2 IPS |
|
|
Object Detection (Q)
|
86% |
15067
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
11007
130.8 IPS |
|
|
Face Detection (HP)
|
100% |
2779
33.0 IPS |
|
|
Face Detection (Q)
|
97% |
15836
188.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18294
140.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4357
33.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
29941
238.9 IPS |
|
|
Style Transfer (SP)
|
100% |
44917
57.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33497
43.1 IPS |
|
|
Style Transfer (Q)
|
98% |
54278
70.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5078
187.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4033
148.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2493
92.3 IPS |
|
|
Text Classification (SP)
|
100% |
2349
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
1126
1.50 KIPS |
|
|
Text Classification (Q)
|
97% |
1819
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4660
80.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1460
25.2 IPS |
|
|
Machine Translation (Q)
|
65% |
5379
108.1 IPS |