| User | domdtxdissar |
| Upload Date | April 16 2025 02:02 AM |
| 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 | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E APEX |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8034
1.49 KIPS |
|
|
Image Classification (HP)
|
100% |
7632
1.42 KIPS |
|
|
Image Classification (Q)
|
100% |
19148
3.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10106
163.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10446
169.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
28767
466.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
35178
41.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
35408
41.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
136446
159.7 IPS |
|
|
Object Detection (SP)
|
100% |
9352
741.8 IPS |
|
|
Object Detection (HP)
|
100% |
9340
740.9 IPS |
|
|
Object Detection (Q)
|
88% |
21713
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
21002
249.6 IPS |
|
|
Face Detection (HP)
|
100% |
19123
227.2 IPS |
|
|
Face Detection (Q)
|
100% |
56295
668.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
32196
248.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
29004
223.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
76601
596.2 IPS |
|
|
Style Transfer (SP)
|
100% |
88991
114.4 IPS |
|
|
Style Transfer (HP)
|
100% |
89265
114.8 IPS |
|
|
Style Transfer (Q)
|
98% |
313691
404.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16489
608.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15941
588.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41660
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
5330
7.11 KIPS |
|
|
Text Classification (HP)
|
100% |
5267
7.03 KIPS |
|
|
Text Classification (Q)
|
92% |
5916
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
9204
158.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9256
159.4 IPS |
|
|
Machine Translation (Q)
|
100% |
9900
170.5 IPS |