User | draytek11 |
Upload Date | April 03 2025 10:59 AM |
Views | 5 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | AMD Ryzen 9 9950X3D 16-Core Processor |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
Power Plan | 1usmus Ryzen Power Plan |
CPU Information | |
---|---|
Name | AMD Ryzen 9 9950X3D 16-Core Processor |
Topology | 1 Processor, 16 Cores, 32 Threads |
Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
Base Frequency | 4.30 GHz |
Cluster 1 | 16 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
5778
1.07 KIPS |
|
Image Classification (HP)
|
100% |
920
171.0 IPS |
|
Image Classification (Q)
|
99% |
13789
2.57 KIPS |
|
Image Segmentation (SP)
|
100% |
3237
52.5 IPS |
|
Image Segmentation (HP)
|
100% |
1499
24.3 IPS |
|
Image Segmentation (Q)
|
98% |
4735
77.0 IPS |
|
Pose Estimation (SP)
|
100% |
30462
35.5 IPS |
|
Pose Estimation (HP)
|
100% |
17559
20.5 IPS |
|
Pose Estimation (Q)
|
94% |
79632
93.4 IPS |
|
Object Detection (SP)
|
100% |
6219
493.3 IPS |
|
Object Detection (HP)
|
100% |
1160
92.0 IPS |
|
Object Detection (Q)
|
86% |
13098
1.05 KIPS |
|
Face Detection (SP)
|
100% |
11063
131.5 IPS |
|
Face Detection (HP)
|
100% |
2759
32.8 IPS |
|
Face Detection (Q)
|
97% |
15913
189.7 IPS |
|
Depth Estimation (SP)
|
100% |
20431
157.4 IPS |
|
Depth Estimation (HP)
|
99% |
4456
34.3 IPS |
|
Depth Estimation (Q)
|
78% |
32720
261.1 IPS |
|
Style Transfer (SP)
|
100% |
53905
69.3 IPS |
|
Style Transfer (HP)
|
100% |
38421
49.4 IPS |
|
Style Transfer (Q)
|
98% |
63788
82.3 IPS |
|
Image Super-Resolution (SP)
|
100% |
5313
196.2 IPS |
|
Image Super-Resolution (HP)
|
100% |
4004
147.8 IPS |
|
Image Super-Resolution (Q)
|
99% |
6912
255.9 IPS |
|
Text Classification (SP)
|
100% |
2459
3.28 KIPS |
|
Text Classification (HP)
|
100% |
999
1.33 KIPS |
|
Text Classification (Q)
|
97% |
613
821.8 IPS |
|
Machine Translation (SP)
|
100% |
4858
83.7 IPS |
|
Machine Translation (HP)
|
100% |
1154
19.9 IPS |
|
Machine Translation (Q)
|
65% |
5842
117.4 IPS |