| User | JeanCarrasco |
| Upload Date | August 25 2025 08:01 PM |
| Views | 9 |
| 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% |
7732
1.44 KIPS |
|
|
Image Classification (HP)
|
100% |
7884
1.47 KIPS |
|
|
Image Classification (Q)
|
100% |
19294
3.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10232
165.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10652
172.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
28231
457.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
35432
41.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
35080
40.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
137002
160.4 IPS |
|
|
Object Detection (SP)
|
100% |
8878
704.2 IPS |
|
|
Object Detection (HP)
|
100% |
9717
770.8 IPS |
|
|
Object Detection (Q)
|
88% |
21865
1.75 KIPS |
|
|
Face Detection (SP)
|
100% |
21599
256.6 IPS |
|
|
Face Detection (HP)
|
100% |
20327
241.5 IPS |
|
|
Face Detection (Q)
|
100% |
58769
698.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
27867
214.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
32068
247.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
71290
554.8 IPS |
|
|
Style Transfer (SP)
|
100% |
89150
114.6 IPS |
|
|
Style Transfer (HP)
|
100% |
88766
114.1 IPS |
|
|
Style Transfer (Q)
|
98% |
311991
402.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16139
596.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16351
603.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40944
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
5289
7.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4951
6.61 KIPS |
|
|
Text Classification (Q)
|
92% |
6296
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
9603
165.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9482
163.3 IPS |
|
|
Machine Translation (Q)
|
100% |
10226
176.1 IPS |