| User | marian1305 |
| Upload Date | June 20 2025 06:55 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4964
923.1 IPS |
|
|
Image Classification (HP)
|
100% |
5184
964.0 IPS |
|
|
Image Classification (Q)
|
100% |
12125
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6698
108.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6963
112.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
17586
285.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15136
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
14774
17.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
60010
70.3 IPS |
|
|
Object Detection (SP)
|
100% |
5430
430.7 IPS |
|
|
Object Detection (HP)
|
100% |
5336
423.2 IPS |
|
|
Object Detection (Q)
|
88% |
13739
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
13026
154.8 IPS |
|
|
Face Detection (HP)
|
100% |
13428
159.6 IPS |
|
|
Face Detection (Q)
|
100% |
34081
405.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15961
123.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15408
118.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
42730
332.6 IPS |
|
|
Style Transfer (SP)
|
100% |
39116
50.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39235
50.4 IPS |
|
|
Style Transfer (Q)
|
98% |
142182
183.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7983
294.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8168
301.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22719
841.4 IPS |
|
|
Text Classification (SP)
|
100% |
3357
4.48 KIPS |
|
|
Text Classification (HP)
|
100% |
3499
4.67 KIPS |
|
|
Text Classification (Q)
|
92% |
4257
5.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
5914
101.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5615
96.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5957
102.6 IPS |