| User | MrCrispr |
| Upload Date | February 01 2026 07:44 PM |
| Views | 4 |
| 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 | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9578
1.78 KIPS |
|
|
Image Classification (HP)
|
100% |
9288
1.73 KIPS |
|
|
Image Classification (Q)
|
100% |
22719
4.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9570
155.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9439
153.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
25062
406.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17651
20.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17442
20.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
70742
82.8 IPS |
|
|
Object Detection (SP)
|
100% |
7878
624.9 IPS |
|
|
Object Detection (HP)
|
100% |
8087
641.5 IPS |
|
|
Object Detection (Q)
|
88% |
23803
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
15729
186.9 IPS |
|
|
Face Detection (HP)
|
100% |
15672
186.2 IPS |
|
|
Face Detection (Q)
|
100% |
57797
686.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
19042
146.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18630
143.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
64867
504.8 IPS |
|
|
Style Transfer (SP)
|
100% |
49665
63.8 IPS |
|
|
Style Transfer (HP)
|
100% |
49975
64.2 IPS |
|
|
Style Transfer (Q)
|
98% |
182035
234.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11312
417.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11481
423.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34599
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
7237
9.66 KIPS |
|
|
Text Classification (HP)
|
100% |
7417
9.90 KIPS |
|
|
Text Classification (Q)
|
92% |
9933
13.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
11641
200.5 IPS |
|
|
Machine Translation (HP)
|
100% |
11651
200.7 IPS |
|
|
Machine Translation (Q)
|
100% |
15120
260.5 IPS |