| User | sipos |
| Upload Date | January 21 2025 01:23 PM |
| Views | 19 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS XTREME AI TOP |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS XTREME AI TOP |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7607
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
7425
1.38 KIPS |
|
|
Image Classification (Q)
|
100% |
17703
3.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7292
118.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7276
117.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
17912
290.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14515
16.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
14913
17.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
60636
71.0 IPS |
|
|
Object Detection (SP)
|
100% |
6623
525.3 IPS |
|
|
Object Detection (HP)
|
100% |
6629
525.8 IPS |
|
|
Object Detection (Q)
|
88% |
19671
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
11985
142.4 IPS |
|
|
Face Detection (HP)
|
100% |
12073
143.5 IPS |
|
|
Face Detection (Q)
|
100% |
45160
536.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16793
129.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17261
133.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
51177
398.2 IPS |
|
|
Style Transfer (SP)
|
100% |
39071
50.2 IPS |
|
|
Style Transfer (HP)
|
100% |
40075
51.5 IPS |
|
|
Style Transfer (Q)
|
98% |
152997
197.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8867
327.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9031
333.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29065
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
6428
8.58 KIPS |
|
|
Text Classification (HP)
|
100% |
6114
8.16 KIPS |
|
|
Text Classification (Q)
|
92% |
8267
11.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
5769
99.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6166
106.2 IPS |
|
|
Machine Translation (Q)
|
100% |
7107
122.4 IPS |