| User | bet2600 |
| Upload Date | December 22 2025 12:33 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | CachyOS |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X570-E GAMING |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 5.09 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.69 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5065
941.8 IPS |
|
|
Image Classification (HP)
|
100% |
5086
945.8 IPS |
|
|
Image Classification (Q)
|
100% |
7764
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7222
117.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7312
118.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
11273
183.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13863
16.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
13944
16.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
28415
33.3 IPS |
|
|
Object Detection (SP)
|
100% |
5639
447.3 IPS |
|
|
Object Detection (HP)
|
100% |
5689
451.3 IPS |
|
|
Object Detection (Q)
|
87% |
8623
691.6 IPS |
|
|
Face Detection (SP)
|
100% |
13959
165.9 IPS |
|
|
Face Detection (HP)
|
100% |
13987
166.2 IPS |
|
|
Face Detection (Q)
|
97% |
26825
319.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14453
111.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14452
111.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
26734
210.8 IPS |
|
|
Style Transfer (SP)
|
100% |
38126
49.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39437
50.7 IPS |
|
|
Style Transfer (Q)
|
98% |
80548
103.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7683
283.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7655
282.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
13997
518.5 IPS |
|
|
Text Classification (SP)
|
100% |
3547
4.73 KIPS |
|
|
Text Classification (HP)
|
100% |
3563
4.76 KIPS |
|
|
Text Classification (Q)
|
91% |
1493
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
6206
106.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6191
106.6 IPS |
|
|
Machine Translation (Q)
|
100% |
6074
104.6 IPS |