| User | Creapure |
| Upload Date | February 27 2025 02:40 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5112
950.6 IPS |
|
|
Image Classification (HP)
|
100% |
5359
996.7 IPS |
|
|
Image Classification (Q)
|
100% |
11061
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7495
121.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7305
118.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
18519
300.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17631
20.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17694
20.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
70779
82.9 IPS |
|
|
Object Detection (SP)
|
100% |
5733
454.7 IPS |
|
|
Object Detection (HP)
|
100% |
6010
476.8 IPS |
|
|
Object Detection (Q)
|
88% |
13361
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
14266
169.5 IPS |
|
|
Face Detection (HP)
|
100% |
14206
168.8 IPS |
|
|
Face Detection (Q)
|
100% |
36262
430.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17194
132.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17087
131.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
45016
350.3 IPS |
|
|
Style Transfer (SP)
|
100% |
45371
58.3 IPS |
|
|
Style Transfer (HP)
|
100% |
45632
58.7 IPS |
|
|
Style Transfer (Q)
|
98% |
164574
212.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9214
340.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9216
340.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25604
948.2 IPS |
|
|
Text Classification (SP)
|
100% |
4279
5.71 KIPS |
|
|
Text Classification (HP)
|
100% |
4259
5.69 KIPS |
|
|
Text Classification (Q)
|
92% |
4551
6.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5338
91.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5334
91.9 IPS |
|
|
Machine Translation (Q)
|
100% |
5271
90.8 IPS |