User | domdtxdissar |
Upload Date | September 19 2024 08:34 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% |
5533
1.03 KIPS |
|
Image Classification (HP)
|
100% |
5392
1.00 KIPS |
|
Image Classification (Q)
|
100% |
11678
2.17 KIPS |
|
Image Segmentation (SP)
|
100% |
5533
89.7 IPS |
|
Image Segmentation (HP)
|
100% |
5412
87.7 IPS |
|
Image Segmentation (Q)
|
99% |
11319
183.5 IPS |
|
Pose Estimation (SP)
|
100% |
17548
20.5 IPS |
|
Pose Estimation (HP)
|
100% |
17604
20.5 IPS |
|
Pose Estimation (Q)
|
98% |
67084
78.5 IPS |
|
Object Detection (SP)
|
100% |
6163
488.9 IPS |
|
Object Detection (HP)
|
100% |
6212
492.7 IPS |
|
Object Detection (Q)
|
88% |
13500
1.08 KIPS |
|
Face Detection (SP)
|
100% |
15974
189.8 IPS |
|
Face Detection (HP)
|
100% |
15772
187.4 IPS |
|
Face Detection (Q)
|
100% |
37586
446.6 IPS |
|
Depth Estimation (SP)
|
100% |
18746
144.4 IPS |
|
Depth Estimation (HP)
|
99% |
18350
141.4 IPS |
|
Depth Estimation (Q)
|
88% |
43433
338.0 IPS |
|
Style Transfer (SP)
|
100% |
44563
57.3 IPS |
|
Style Transfer (HP)
|
100% |
44276
56.9 IPS |
|
Style Transfer (Q)
|
98% |
155673
200.7 IPS |
|
Image Super-Resolution (SP)
|
100% |
8693
321.0 IPS |
|
Image Super-Resolution (HP)
|
100% |
8713
321.7 IPS |
|
Image Super-Resolution (Q)
|
99% |
24419
904.3 IPS |
|
Text Classification (SP)
|
100% |
4077
5.44 KIPS |
|
Text Classification (HP)
|
100% |
3934
5.25 KIPS |
|
Text Classification (Q)
|
92% |
4667
6.27 KIPS |
|
Machine Translation (SP)
|
100% |
5580
96.1 IPS |
|
Machine Translation (HP)
|
100% |
5521
95.1 IPS |
|
Machine Translation (Q)
|
100% |
5543
95.5 IPS |