| User | JeanCarrasco |
| Upload Date | August 25 2025 07:49 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X870E Taichi Lite |
| Motherboard | ASRock X870E Taichi Lite |
| Power Plan | Dynamic Boost Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| 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% |
7556
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
7979
1.48 KIPS |
|
|
Image Classification (Q)
|
100% |
19703
3.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10390
168.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11836
191.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31887
516.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
35016
40.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
35059
40.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
135749
158.9 IPS |
|
|
Object Detection (SP)
|
100% |
9086
720.7 IPS |
|
|
Object Detection (HP)
|
100% |
9009
714.6 IPS |
|
|
Object Detection (Q)
|
88% |
22026
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
20907
248.4 IPS |
|
|
Face Detection (HP)
|
100% |
21340
253.6 IPS |
|
|
Face Detection (Q)
|
100% |
55638
661.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
28511
219.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
27472
211.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
72001
560.3 IPS |
|
|
Style Transfer (SP)
|
100% |
87686
112.7 IPS |
|
|
Style Transfer (HP)
|
100% |
89372
114.9 IPS |
|
|
Style Transfer (Q)
|
98% |
310645
400.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15789
583.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15694
579.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41459
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
5041
6.73 KIPS |
|
|
Text Classification (HP)
|
100% |
5387
7.19 KIPS |
|
|
Text Classification (Q)
|
92% |
6260
8.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
9498
163.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9570
164.8 IPS |
|
|
Machine Translation (Q)
|
100% |
10081
173.6 IPS |