| User | MrCrispr |
| Upload Date | October 23 2025 10:39 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7507
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
7054
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
19528
3.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9303
150.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9414
152.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
27704
449.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
31645
36.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
31714
37.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
126207
147.8 IPS |
|
|
Object Detection (SP)
|
100% |
8366
663.6 IPS |
|
|
Object Detection (HP)
|
100% |
8422
668.1 IPS |
|
|
Object Detection (Q)
|
88% |
21841
1.75 KIPS |
|
|
Face Detection (SP)
|
100% |
18108
215.2 IPS |
|
|
Face Detection (HP)
|
100% |
18360
218.2 IPS |
|
|
Face Detection (Q)
|
100% |
50224
596.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
23415
180.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
24312
187.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
72861
567.0 IPS |
|
|
Style Transfer (SP)
|
100% |
81835
105.2 IPS |
|
|
Style Transfer (HP)
|
100% |
81610
104.9 IPS |
|
|
Style Transfer (Q)
|
98% |
297544
383.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15331
566.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15192
561.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41028
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
5084
6.79 KIPS |
|
|
Text Classification (HP)
|
100% |
5336
7.12 KIPS |
|
|
Text Classification (Q)
|
92% |
5926
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
8899
153.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8984
154.8 IPS |
|
|
Machine Translation (Q)
|
100% |
10066
173.4 IPS |