| User | JeanCarrasco |
| Upload Date | August 25 2025 08:13 PM |
| Views | 12 |
| 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% |
7757
1.44 KIPS |
|
|
Image Classification (HP)
|
100% |
7959
1.48 KIPS |
|
|
Image Classification (Q)
|
100% |
20635
3.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10425
169.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
10367
168.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
29382
476.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
35691
41.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
35775
41.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
135195
158.3 IPS |
|
|
Object Detection (SP)
|
100% |
9297
737.4 IPS |
|
|
Object Detection (HP)
|
100% |
9030
716.3 IPS |
|
|
Object Detection (Q)
|
88% |
22630
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
21025
249.8 IPS |
|
|
Face Detection (HP)
|
100% |
21017
249.7 IPS |
|
|
Face Detection (Q)
|
100% |
59089
702.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
28313
218.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
29309
225.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
75032
583.9 IPS |
|
|
Style Transfer (SP)
|
100% |
89564
115.1 IPS |
|
|
Style Transfer (HP)
|
100% |
88978
114.4 IPS |
|
|
Style Transfer (Q)
|
98% |
313487
404.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16161
596.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16570
611.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
42117
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
5330
7.11 KIPS |
|
|
Text Classification (HP)
|
100% |
5273
7.04 KIPS |
|
|
Text Classification (Q)
|
92% |
6177
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
9506
163.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9638
166.0 IPS |
|
|
Machine Translation (Q)
|
100% |
10065
173.4 IPS |