| User | JLK03F150 |
| Upload Date | December 21 2024 06:07 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS ELITE WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS ELITE WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3951
734.7 IPS |
|
|
Image Classification (HP)
|
100% |
3922
729.4 IPS |
|
|
Image Classification (Q)
|
100% |
5587
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4583
74.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4585
74.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6456
105.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7472
8.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
7495
8.75 IPS |
|
|
Pose Estimation (Q)
|
94% |
15134
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
3847
305.1 IPS |
|
|
Object Detection (HP)
|
100% |
3883
308.0 IPS |
|
|
Object Detection (Q)
|
87% |
5736
460.0 IPS |
|
|
Face Detection (SP)
|
100% |
12717
151.1 IPS |
|
|
Face Detection (HP)
|
100% |
12652
150.3 IPS |
|
|
Face Detection (Q)
|
97% |
16763
199.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9845
75.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
10014
77.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
16582
130.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22120
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
22358
28.7 IPS |
|
|
Style Transfer (Q)
|
98% |
43362
55.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4620
170.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4613
170.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8720
323.0 IPS |
|
|
Text Classification (SP)
|
100% |
3342
4.46 KIPS |
|
|
Text Classification (HP)
|
100% |
3378
4.51 KIPS |
|
|
Text Classification (Q)
|
91% |
1150
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4953
85.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5035
86.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4946
85.2 IPS |