| User | AndRusha |
| Upload Date | April 04 2025 06:41 PM |
| Views | 25 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS PRO ICE |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS PRO ICE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6787
1.26 KIPS |
|
|
Image Classification (HP)
|
100% |
6766
1.26 KIPS |
|
|
Image Classification (Q)
|
100% |
15990
2.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6260
101.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6065
98.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
14101
228.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12729
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
12623
14.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
50654
59.3 IPS |
|
|
Object Detection (SP)
|
100% |
6259
496.5 IPS |
|
|
Object Detection (HP)
|
100% |
6289
498.8 IPS |
|
|
Object Detection (Q)
|
88% |
17341
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
13569
161.2 IPS |
|
|
Face Detection (HP)
|
100% |
13465
160.0 IPS |
|
|
Face Detection (Q)
|
100% |
41612
494.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
15653
120.6 IPS |
|
|
Depth Estimation (HP)
|
100% |
15578
120.0 IPS |
|
|
Depth Estimation (Q)
|
80% |
46141
365.7 IPS |
|
|
Style Transfer (SP)
|
100% |
35411
45.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35046
45.1 IPS |
|
|
Style Transfer (Q)
|
98% |
130783
168.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8235
304.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8267
305.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25466
943.1 IPS |
|
|
Text Classification (SP)
|
100% |
5428
7.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5442
7.26 KIPS |
|
|
Text Classification (Q)
|
92% |
8136
10.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
7858
135.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7929
136.6 IPS |
|
|
Machine Translation (Q)
|
85% |
10799
188.8 IPS |