| User | MrCrispr |
| Upload Date | February 01 2026 05:38 PM |
| Views | 6 |
| 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, 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% |
5729
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
5958
1.11 KIPS |
|
|
Image Classification (Q)
|
100% |
14134
2.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8694
140.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8002
129.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
21951
355.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
29560
34.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
29302
34.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
123720
144.8 IPS |
|
|
Object Detection (SP)
|
100% |
6730
533.9 IPS |
|
|
Object Detection (HP)
|
100% |
6956
551.8 IPS |
|
|
Object Detection (Q)
|
88% |
16695
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
14423
171.4 IPS |
|
|
Face Detection (HP)
|
100% |
14434
171.5 IPS |
|
|
Face Detection (Q)
|
100% |
45289
538.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19402
149.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
20218
155.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
56661
440.9 IPS |
|
|
Style Transfer (SP)
|
100% |
75373
96.9 IPS |
|
|
Style Transfer (HP)
|
100% |
74264
95.5 IPS |
|
|
Style Transfer (Q)
|
98% |
268708
346.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12711
469.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12771
471.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
33935
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
3747
5.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3910
5.22 KIPS |
|
|
Text Classification (Q)
|
92% |
4868
6.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
6774
116.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6446
111.0 IPS |
|
|
Machine Translation (Q)
|
100% |
6963
119.9 IPS |