User | domdtxdissar |
Upload Date | September 19 2024 07:42 PM |
Views | 4 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | AMD Ryzen 9 7950X3D 16-Core Processor |
System Information | |
---|---|
Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | AMD Ryzen 9 7950X3D |
Topology | 1 Processor, 16 Cores, 32 Threads |
Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
Base Frequency | 4.20 GHz |
Cluster 1 | 16 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
5580
1.04 KIPS |
|
Image Classification (HP)
|
100% |
5475
1.02 KIPS |
|
Image Classification (Q)
|
100% |
11534
2.14 KIPS |
|
Image Segmentation (SP)
|
100% |
5378
87.2 IPS |
|
Image Segmentation (HP)
|
100% |
5454
88.4 IPS |
|
Image Segmentation (Q)
|
99% |
11310
183.3 IPS |
|
Pose Estimation (SP)
|
100% |
17417
20.3 IPS |
|
Pose Estimation (HP)
|
100% |
17493
20.4 IPS |
|
Pose Estimation (Q)
|
98% |
66989
78.4 IPS |
|
Object Detection (SP)
|
100% |
5931
470.4 IPS |
|
Object Detection (HP)
|
100% |
6076
481.9 IPS |
|
Object Detection (Q)
|
88% |
13555
1.09 KIPS |
|
Face Detection (SP)
|
100% |
14982
178.0 IPS |
|
Face Detection (HP)
|
100% |
15237
181.1 IPS |
|
Face Detection (Q)
|
100% |
35090
416.9 IPS |
|
Depth Estimation (SP)
|
100% |
18631
143.5 IPS |
|
Depth Estimation (HP)
|
99% |
18513
142.6 IPS |
|
Depth Estimation (Q)
|
88% |
44136
343.4 IPS |
|
Style Transfer (SP)
|
100% |
44322
57.0 IPS |
|
Style Transfer (HP)
|
100% |
43471
55.9 IPS |
|
Style Transfer (Q)
|
98% |
150483
194.0 IPS |
|
Image Super-Resolution (SP)
|
100% |
8589
317.1 IPS |
|
Image Super-Resolution (HP)
|
100% |
8664
319.9 IPS |
|
Image Super-Resolution (Q)
|
99% |
25162
931.8 IPS |
|
Text Classification (SP)
|
100% |
4124
5.50 KIPS |
|
Text Classification (HP)
|
100% |
4122
5.50 KIPS |
|
Text Classification (Q)
|
92% |
4708
6.32 KIPS |
|
Machine Translation (SP)
|
100% |
5698
98.1 IPS |
|
Machine Translation (HP)
|
100% |
5651
97.3 IPS |
|
Machine Translation (Q)
|
100% |
5970
102.8 IPS |