| User | sipos |
| Upload Date | April 17 2025 05:35 PM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS XTREME AI TOP |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS XTREME AI TOP |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 16-Core Processor |
| 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 | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6401
1.19 KIPS |
|
|
Image Classification (HP)
|
100% |
6101
1.13 KIPS |
|
|
Image Classification (Q)
|
100% |
12893
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7991
129.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7951
128.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19032
308.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
27740
32.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29033
33.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
116988
137.0 IPS |
|
|
Object Detection (SP)
|
100% |
7501
595.0 IPS |
|
|
Object Detection (HP)
|
100% |
7805
619.1 IPS |
|
|
Object Detection (Q)
|
88% |
15543
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
17522
208.2 IPS |
|
|
Face Detection (HP)
|
100% |
16202
192.5 IPS |
|
|
Face Detection (Q)
|
100% |
43689
519.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
22605
174.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22958
176.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
57927
450.7 IPS |
|
|
Style Transfer (SP)
|
100% |
74085
95.2 IPS |
|
|
Style Transfer (HP)
|
100% |
73276
94.2 IPS |
|
|
Style Transfer (Q)
|
98% |
264491
341.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13869
512.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13732
507.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35176
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
4499
6.00 KIPS |
|
|
Text Classification (HP)
|
100% |
4516
6.03 KIPS |
|
|
Text Classification (Q)
|
92% |
5512
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
6124
105.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6372
109.8 IPS |
|
|
Machine Translation (Q)
|
100% |
6057
104.3 IPS |