| Upload Date | November 02 2025 04:33 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X570-I GAMING |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4487
834.5 IPS |
|
|
Image Classification (HP)
|
100% |
4648
864.4 IPS |
|
|
Image Classification (Q)
|
100% |
6754
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7047
114.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6602
107.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10954
178.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14241
16.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14388
16.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
28836
33.8 IPS |
|
|
Object Detection (SP)
|
100% |
5260
417.2 IPS |
|
|
Object Detection (HP)
|
100% |
5333
423.0 IPS |
|
|
Object Detection (Q)
|
87% |
7652
613.7 IPS |
|
|
Face Detection (SP)
|
100% |
12463
148.1 IPS |
|
|
Face Detection (HP)
|
100% |
12202
145.0 IPS |
|
|
Face Detection (Q)
|
97% |
22732
271.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14412
111.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14789
113.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
24287
191.5 IPS |
|
|
Style Transfer (SP)
|
100% |
40425
52.0 IPS |
|
|
Style Transfer (HP)
|
100% |
40585
52.2 IPS |
|
|
Style Transfer (Q)
|
98% |
80415
103.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7789
287.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7876
290.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
13642
505.3 IPS |
|
|
Text Classification (SP)
|
100% |
3217
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
3311
4.42 KIPS |
|
|
Text Classification (Q)
|
91% |
284
381.3 IPS |
|
|
Machine Translation (SP)
|
100% |
3708
63.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3531
60.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3582
61.7 IPS |