| User | arefuiryentwrbe |
| Upload Date | September 04 2025 07:55 AM |
| Views | 10 |
| 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% |
5747
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
6297
1.17 KIPS |
|
|
Image Classification (Q)
|
100% |
15787
2.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7307
118.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7082
114.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
20578
333.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
26115
30.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
25578
29.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
105693
123.7 IPS |
|
|
Object Detection (SP)
|
100% |
6369
505.2 IPS |
|
|
Object Detection (HP)
|
100% |
6554
519.9 IPS |
|
|
Object Detection (Q)
|
88% |
17301
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
13420
159.5 IPS |
|
|
Face Detection (HP)
|
100% |
12230
145.3 IPS |
|
|
Face Detection (Q)
|
100% |
39970
474.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17721
136.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17655
136.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
53952
419.9 IPS |
|
|
Style Transfer (SP)
|
100% |
65330
84.0 IPS |
|
|
Style Transfer (HP)
|
100% |
67075
86.2 IPS |
|
|
Style Transfer (Q)
|
98% |
239387
308.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11905
439.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12241
452.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32623
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
4046
5.40 KIPS |
|
|
Text Classification (HP)
|
100% |
4158
5.55 KIPS |
|
|
Text Classification (Q)
|
92% |
5046
6.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
5832
100.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6014
103.6 IPS |
|
|
Machine Translation (Q)
|
100% |
6479
111.6 IPS |