User | domdtxdissar |
Upload Date | September 19 2024 08:11 PM |
Views | 2 |
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% |
5480
1.02 KIPS |
|
Image Classification (HP)
|
100% |
5552
1.03 KIPS |
|
Image Classification (Q)
|
100% |
11616
2.16 KIPS |
|
Image Segmentation (SP)
|
100% |
5435
88.1 IPS |
|
Image Segmentation (HP)
|
100% |
5289
85.7 IPS |
|
Image Segmentation (Q)
|
99% |
11859
192.2 IPS |
|
Pose Estimation (SP)
|
100% |
17667
20.6 IPS |
|
Pose Estimation (HP)
|
100% |
17577
20.5 IPS |
|
Pose Estimation (Q)
|
98% |
65594
76.8 IPS |
|
Object Detection (SP)
|
100% |
6121
485.5 IPS |
|
Object Detection (HP)
|
100% |
6048
479.8 IPS |
|
Object Detection (Q)
|
88% |
13296
1.07 KIPS |
|
Face Detection (SP)
|
100% |
15654
186.0 IPS |
|
Face Detection (HP)
|
100% |
15738
187.0 IPS |
|
Face Detection (Q)
|
100% |
36670
435.7 IPS |
|
Depth Estimation (SP)
|
100% |
18616
143.4 IPS |
|
Depth Estimation (HP)
|
99% |
18175
140.0 IPS |
|
Depth Estimation (Q)
|
88% |
42372
329.7 IPS |
|
Style Transfer (SP)
|
100% |
42938
55.2 IPS |
|
Style Transfer (HP)
|
100% |
43516
55.9 IPS |
|
Style Transfer (Q)
|
98% |
148034
190.9 IPS |
|
Image Super-Resolution (SP)
|
100% |
8884
328.0 IPS |
|
Image Super-Resolution (HP)
|
100% |
8815
325.5 IPS |
|
Image Super-Resolution (Q)
|
99% |
25031
927.0 IPS |
|
Text Classification (SP)
|
100% |
4258
5.68 KIPS |
|
Text Classification (HP)
|
100% |
4166
5.56 KIPS |
|
Text Classification (Q)
|
92% |
4771
6.41 KIPS |
|
Machine Translation (SP)
|
100% |
5708
98.3 IPS |
|
Machine Translation (HP)
|
100% |
5556
95.7 IPS |
|
Machine Translation (Q)
|
100% |
5580
96.1 IPS |