User | domdtxdissar |
Upload Date | September 19 2024 07:59 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% |
5454
1.01 KIPS |
|
Image Classification (HP)
|
100% |
5326
990.4 IPS |
|
Image Classification (Q)
|
100% |
11672
2.17 KIPS |
|
Image Segmentation (SP)
|
100% |
5324
86.3 IPS |
|
Image Segmentation (HP)
|
100% |
5205
84.4 IPS |
|
Image Segmentation (Q)
|
99% |
11846
192.0 IPS |
|
Pose Estimation (SP)
|
100% |
17554
20.5 IPS |
|
Pose Estimation (HP)
|
100% |
17271
20.2 IPS |
|
Pose Estimation (Q)
|
98% |
65911
77.2 IPS |
|
Object Detection (SP)
|
100% |
6096
483.5 IPS |
|
Object Detection (HP)
|
100% |
5985
474.7 IPS |
|
Object Detection (Q)
|
88% |
13403
1.07 KIPS |
|
Face Detection (SP)
|
100% |
15796
187.7 IPS |
|
Face Detection (HP)
|
100% |
15849
188.3 IPS |
|
Face Detection (Q)
|
100% |
38497
457.4 IPS |
|
Depth Estimation (SP)
|
100% |
18440
142.1 IPS |
|
Depth Estimation (HP)
|
99% |
18207
140.3 IPS |
|
Depth Estimation (Q)
|
88% |
43304
336.9 IPS |
|
Style Transfer (SP)
|
100% |
43386
55.8 IPS |
|
Style Transfer (HP)
|
100% |
42960
55.2 IPS |
|
Style Transfer (Q)
|
98% |
148556
191.6 IPS |
|
Image Super-Resolution (SP)
|
100% |
8696
321.1 IPS |
|
Image Super-Resolution (HP)
|
100% |
8837
326.3 IPS |
|
Image Super-Resolution (Q)
|
99% |
24935
923.5 IPS |
|
Text Classification (SP)
|
100% |
4053
5.41 KIPS |
|
Text Classification (HP)
|
100% |
4228
5.64 KIPS |
|
Text Classification (Q)
|
92% |
4793
6.44 KIPS |
|
Machine Translation (SP)
|
100% |
5650
97.3 IPS |
|
Machine Translation (HP)
|
100% |
5575
96.0 IPS |
|
Machine Translation (Q)
|
100% |
5813
100.1 IPS |