| Upload Date | October 29 2025 08:36 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PLUS (WI-FI) |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3177
590.9 IPS |
|
|
Image Classification (HP)
|
100% |
3080
572.8 IPS |
|
|
Image Classification (Q)
|
100% |
4715
876.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3965
64.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3996
64.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6749
109.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9928
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9896
11.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
19997
23.5 IPS |
|
|
Object Detection (SP)
|
100% |
3365
266.9 IPS |
|
|
Object Detection (HP)
|
100% |
3268
259.2 IPS |
|
|
Object Detection (Q)
|
87% |
5778
463.5 IPS |
|
|
Face Detection (SP)
|
100% |
6836
81.2 IPS |
|
|
Face Detection (HP)
|
100% |
6950
82.6 IPS |
|
|
Face Detection (Q)
|
97% |
15065
179.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8581
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8405
64.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
16279
128.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27618
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27870
35.8 IPS |
|
|
Style Transfer (Q)
|
98% |
54145
69.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5406
199.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5417
200.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9321
345.3 IPS |
|
|
Text Classification (SP)
|
100% |
2352
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
2469
3.29 KIPS |
|
|
Text Classification (Q)
|
91% |
328
441.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2881
49.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2343
40.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2475
42.6 IPS |