| User | arefuiryentwrbe |
| Upload Date | September 05 2025 03:37 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5920
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
6444
1.20 KIPS |
|
|
Image Classification (Q)
|
100% |
15696
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7717
125.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8513
138.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
22974
372.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
27937
32.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
27606
32.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
107554
125.9 IPS |
|
|
Object Detection (SP)
|
100% |
7244
574.6 IPS |
|
|
Object Detection (HP)
|
100% |
7652
606.9 IPS |
|
|
Object Detection (Q)
|
88% |
18671
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
15405
183.0 IPS |
|
|
Face Detection (HP)
|
100% |
14936
177.5 IPS |
|
|
Face Detection (Q)
|
100% |
49148
584.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18607
143.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
18922
145.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
55372
430.9 IPS |
|
|
Style Transfer (SP)
|
100% |
72049
92.6 IPS |
|
|
Style Transfer (HP)
|
100% |
72388
93.1 IPS |
|
|
Style Transfer (Q)
|
98% |
267257
344.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13186
486.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13069
482.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34395
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
4274
5.70 KIPS |
|
|
Text Classification (HP)
|
100% |
4428
5.91 KIPS |
|
|
Text Classification (Q)
|
92% |
5193
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
7630
131.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7600
130.9 IPS |
|
|
Machine Translation (Q)
|
100% |
7844
135.1 IPS |