Upload Date | December 27 2024 07:11 PM |
Views | 1 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | AMD Ryzen 9 7900X3D |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX |
Motherboard | Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | AMD Ryzen 9 7900X3D |
Topology | 1 Processor, 12 Cores, 24 Threads |
Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
Base Frequency | 4.40 GHz |
Cluster 1 | 12 Cores |
Memory Information | |
---|---|
Size | 64.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
3094
575.3 IPS |
|
Image Classification (HP)
|
100% |
510
94.9 IPS |
|
Image Classification (Q)
|
99% |
7948
1.48 KIPS |
|
Image Segmentation (SP)
|
100% |
2204
35.7 IPS |
|
Image Segmentation (HP)
|
100% |
731
11.8 IPS |
|
Image Segmentation (Q)
|
98% |
2818
45.8 IPS |
|
Pose Estimation (SP)
|
100% |
8709
10.2 IPS |
|
Pose Estimation (HP)
|
100% |
6606
7.71 IPS |
|
Pose Estimation (Q)
|
94% |
34979
41.0 IPS |
|
Object Detection (SP)
|
100% |
3075
243.9 IPS |
|
Object Detection (HP)
|
100% |
664
52.7 IPS |
|
Object Detection (Q)
|
86% |
6836
549.4 IPS |
|
Face Detection (SP)
|
100% |
6929
82.3 IPS |
|
Face Detection (HP)
|
100% |
1392
16.5 IPS |
|
Face Detection (Q)
|
97% |
10486
125.0 IPS |
|
Depth Estimation (SP)
|
100% |
9653
74.4 IPS |
|
Depth Estimation (HP)
|
99% |
2480
19.1 IPS |
|
Depth Estimation (Q)
|
78% |
18456
147.3 IPS |
|
Style Transfer (SP)
|
100% |
19855
25.5 IPS |
|
Style Transfer (HP)
|
100% |
17137
22.0 IPS |
|
Style Transfer (Q)
|
98% |
36087
46.5 IPS |
|
Image Super-Resolution (SP)
|
100% |
2336
86.3 IPS |
|
Image Super-Resolution (HP)
|
100% |
2020
74.6 IPS |
|
Image Super-Resolution (Q)
|
99% |
3559
131.8 IPS |
|
Text Classification (SP)
|
100% |
1354
1.81 KIPS |
|
Text Classification (HP)
|
100% |
711
948.9 IPS |
|
Text Classification (Q)
|
97% |
409
548.5 IPS |
|
Machine Translation (SP)
|
100% |
2567
44.2 IPS |
|
Machine Translation (HP)
|
100% |
741
12.8 IPS |
|
Machine Translation (Q)
|
65% |
3075
61.8 IPS |