| Upload Date | February 08 2026 10:19 AM |
| Views | 6 |
| 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 X470-PLUS GAMING |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2907
540.7 IPS |
|
|
Image Classification (HP)
|
100% |
2973
552.9 IPS |
|
|
Image Classification (Q)
|
100% |
5144
956.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3575
58.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3911
63.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6583
107.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8271
9.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
8283
9.66 IPS |
|
|
Pose Estimation (Q)
|
94% |
19963
23.4 IPS |
|
|
Object Detection (SP)
|
100% |
3024
239.9 IPS |
|
|
Object Detection (HP)
|
100% |
3356
266.2 IPS |
|
|
Object Detection (Q)
|
87% |
5849
469.1 IPS |
|
|
Face Detection (SP)
|
100% |
5676
67.4 IPS |
|
|
Face Detection (HP)
|
100% |
5943
70.6 IPS |
|
|
Face Detection (Q)
|
97% |
15761
187.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6713
51.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
6536
50.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
17208
135.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25248
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
25019
32.2 IPS |
|
|
Style Transfer (Q)
|
98% |
54807
70.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5129
189.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5199
192.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9644
357.2 IPS |
|
|
Text Classification (SP)
|
100% |
2261
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (Q)
|
91% |
390
524.2 IPS |
|
|
Machine Translation (SP)
|
100% |
3131
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2752
47.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2784
48.0 IPS |