User | f180n4cc1 |
Upload Date | September 20 2025 09:35 AM |
Views | 4 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | AMD Ryzen 9 7950X3D |
System Information | |
---|---|
Operating System | CachyOS |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X670E-F GAMING WIFI |
CPU Information | |
---|---|
Name | AMD Ryzen 9 7950X3D |
Topology | 1 Processor, 16 Cores, 32 Threads |
Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
Base Frequency | 5.76 GHz |
Cluster 1 | 0 Cores |
Memory Information | |
---|---|
Size | 62.44 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1638
304.6 IPS |
|
Image Classification (HP)
|
100% |
135
25.2 IPS |
|
Image Classification (Q)
|
97% |
7892
1.47 KIPS |
|
Image Segmentation (SP)
|
100% |
2415
39.2 IPS |
|
Image Segmentation (HP)
|
100% |
296
4.79 IPS |
|
Image Segmentation (Q)
|
99% |
3489
56.7 IPS |
|
Pose Estimation (SP)
|
100% |
15059
17.6 IPS |
|
Pose Estimation (HP)
|
100% |
4749
5.54 IPS |
|
Pose Estimation (Q)
|
94% |
45438
53.3 IPS |
|
Object Detection (SP)
|
100% |
2210
175.3 IPS |
|
Object Detection (HP)
|
100% |
132
10.5 IPS |
|
Object Detection (Q)
|
86% |
9545
767.1 IPS |
|
Face Detection (SP)
|
100% |
3618
43.0 IPS |
|
Face Detection (HP)
|
100% |
334
3.96 IPS |
|
Face Detection (Q)
|
97% |
15341
182.9 IPS |
|
Depth Estimation (SP)
|
100% |
10682
82.3 IPS |
|
Depth Estimation (HP)
|
99% |
883
6.80 IPS |
|
Depth Estimation (Q)
|
78% |
16871
134.6 IPS |
|
Style Transfer (SP)
|
100% |
28370
36.5 IPS |
|
Style Transfer (HP)
|
100% |
17782
22.9 IPS |
|
Style Transfer (Q)
|
98% |
33516
43.2 IPS |
|
Image Super-Resolution (SP)
|
100% |
3051
112.7 IPS |
|
Image Super-Resolution (HP)
|
100% |
2314
85.4 IPS |
|
Image Super-Resolution (Q)
|
99% |
3975
147.2 IPS |
|
Text Classification (SP)
|
100% |
2237
2.99 KIPS |
|
Text Classification (HP)
|
100% |
638
851.6 IPS |
|
Text Classification (Q)
|
97% |
1444
1.93 KIPS |
|
Machine Translation (SP)
|
100% |
3065
52.8 IPS |
|
Machine Translation (HP)
|
100% |
612
10.6 IPS |
|
Machine Translation (Q)
|
65% |
4639
93.2 IPS |