User | Blondin |
Upload Date | October 14 2024 03:36 PM |
Views | 4 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | AMD Ryzen 9 5900X |
System Information | |
---|---|
Operating System | Windows 10 (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII DARK HERO |
CPU Information | |
---|---|
Name | AMD Ryzen 9 5900X |
Topology | 1 Processor, 12 Cores, 24 Threads |
Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
Base Frequency | 4.82 GHz |
Cluster 1 | 12 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1651
307.0 IPS |
|
Image Classification (HP)
|
100% |
545
101.3 IPS |
|
Image Classification (Q)
|
96% |
3783
706.5 IPS |
|
Image Segmentation (SP)
|
100% |
2002
32.5 IPS |
|
Image Segmentation (HP)
|
100% |
821
13.3 IPS |
|
Image Segmentation (Q)
|
97% |
2609
42.4 IPS |
|
Pose Estimation (SP)
|
100% |
7009
8.18 IPS |
|
Pose Estimation (HP)
|
100% |
5687
6.64 IPS |
|
Pose Estimation (Q)
|
87% |
17526
20.7 IPS |
|
Object Detection (SP)
|
100% |
2086
165.5 IPS |
|
Object Detection (HP)
|
100% |
680
53.9 IPS |
|
Object Detection (Q)
|
86% |
1840
147.9 IPS |
|
Face Detection (SP)
|
100% |
3743
44.5 IPS |
|
Face Detection (HP)
|
100% |
1665
19.8 IPS |
|
Face Detection (Q)
|
96% |
5104
60.9 IPS |
|
Depth Estimation (SP)
|
100% |
7591
58.5 IPS |
|
Depth Estimation (HP)
|
99% |
2432
18.7 IPS |
|
Depth Estimation (Q)
|
77% |
8507
68.1 IPS |
|
Style Transfer (SP)
|
100% |
17940
23.1 IPS |
|
Style Transfer (HP)
|
100% |
14971
19.2 IPS |
|
Style Transfer (Q)
|
87% |
23179
30.2 IPS |
|
Image Super-Resolution (SP)
|
100% |
2306
85.2 IPS |
|
Image Super-Resolution (HP)
|
100% |
1928
71.2 IPS |
|
Image Super-Resolution (Q)
|
97% |
3378
125.2 IPS |
|
Text Classification (SP)
|
100% |
1535
2.05 KIPS |
|
Text Classification (HP)
|
100% |
624
832.5 IPS |
|
Text Classification (Q)
|
97% |
451
604.3 IPS |
|
Machine Translation (SP)
|
100% |
2337
40.3 IPS |
|
Machine Translation (HP)
|
100% |
658
11.3 IPS |
|
Machine Translation (Q)
|
60% |
2191
48.9 IPS |