| User | Waldek |
| Upload Date | November 05 2024 08:29 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570S AERO G |
| Motherboard | Gigabyte Technology Co., Ltd. X570S AERO G |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2753
511.9 IPS |
|
|
Image Classification (HP)
|
100% |
2391
444.6 IPS |
|
|
Image Classification (Q)
|
100% |
4984
926.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2317
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2346
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4658
75.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9707
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
9440
11.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
19978
23.4 IPS |
|
|
Object Detection (SP)
|
100% |
2303
182.7 IPS |
|
|
Object Detection (HP)
|
100% |
2916
231.3 IPS |
|
|
Object Detection (Q)
|
87% |
5224
419.0 IPS |
|
|
Face Detection (SP)
|
100% |
4468
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
4446
52.8 IPS |
|
|
Face Detection (Q)
|
97% |
15848
189.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7571
58.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6972
53.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
19486
153.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29284
37.6 IPS |
|
|
Style Transfer (HP)
|
100% |
28395
36.5 IPS |
|
|
Style Transfer (Q)
|
98% |
66004
85.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5652
208.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5695
210.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11009
407.8 IPS |
|
|
Text Classification (SP)
|
100% |
786
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
794
1.06 KIPS |
|
|
Text Classification (Q)
|
91% |
256
344.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2104
36.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2037
35.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2103
36.2 IPS |