| User | EriksLV |
| Upload Date | August 29 2024 10:36 AM |
| Views | 6 |
| 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 I AORUS PRO AX |
| Motherboard | Gigabyte Technology Co., Ltd. X570S I AORUS PRO AX |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3950
734.6 IPS |
|
|
Image Classification (HP)
|
100% |
3900
725.4 IPS |
|
|
Image Classification (Q)
|
100% |
5809
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3359
54.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2556
41.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6936
112.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13086
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
13136
15.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
27923
32.8 IPS |
|
|
Object Detection (SP)
|
100% |
4368
346.5 IPS |
|
|
Object Detection (HP)
|
100% |
4572
362.7 IPS |
|
|
Object Detection (Q)
|
87% |
6789
544.5 IPS |
|
|
Face Detection (SP)
|
100% |
10114
120.2 IPS |
|
|
Face Detection (HP)
|
100% |
10459
124.3 IPS |
|
|
Face Detection (Q)
|
97% |
21751
259.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12542
96.6 IPS |
|
|
Depth Estimation (HP)
|
100% |
12277
94.6 IPS |
|
|
Depth Estimation (Q)
|
79% |
22328
177.1 IPS |
|
|
Style Transfer (SP)
|
100% |
37361
48.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37255
47.9 IPS |
|
|
Style Transfer (Q)
|
98% |
76699
98.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6901
254.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6960
257.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
12612
467.2 IPS |
|
|
Text Classification (SP)
|
100% |
948
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
943
1.26 KIPS |
|
|
Text Classification (Q)
|
91% |
305
410.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2897
49.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2906
50.1 IPS |
|
|
Machine Translation (Q)
|
90% |
1653
28.7 IPS |