| User | purity |
| Upload Date | December 29 2024 05:07 AM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X670E Steel Legend |
| Motherboard | ASRock X670E Steel Legend |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5335
992.2 IPS |
|
|
Image Classification (HP)
|
100% |
5607
1.04 KIPS |
|
|
Image Classification (Q)
|
100% |
11376
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7466
121.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7084
114.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18024
292.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17388
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17306
20.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
67892
79.5 IPS |
|
|
Object Detection (SP)
|
100% |
5998
475.7 IPS |
|
|
Object Detection (HP)
|
100% |
5942
471.3 IPS |
|
|
Object Detection (Q)
|
88% |
13324
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
14558
173.0 IPS |
|
|
Face Detection (HP)
|
100% |
14789
175.7 IPS |
|
|
Face Detection (Q)
|
100% |
35961
427.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17103
131.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
17075
131.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
44861
349.1 IPS |
|
|
Style Transfer (SP)
|
100% |
44702
57.5 IPS |
|
|
Style Transfer (HP)
|
100% |
44744
57.5 IPS |
|
|
Style Transfer (Q)
|
98% |
164698
212.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8993
332.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9078
335.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25407
940.9 IPS |
|
|
Text Classification (SP)
|
100% |
4069
5.43 KIPS |
|
|
Text Classification (HP)
|
100% |
4194
5.60 KIPS |
|
|
Text Classification (Q)
|
92% |
4998
6.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
5428
93.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5231
90.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5440
93.7 IPS |