| User | domdtxdissar |
| Upload Date | April 16 2025 01:55 AM |
| Views | 7 |
| 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% |
7459
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
8211
1.53 KIPS |
|
|
Image Classification (Q)
|
100% |
19092
3.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11231
182.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11007
178.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30875
500.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
35294
41.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
35292
41.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
137464
160.9 IPS |
|
|
Object Detection (SP)
|
100% |
9395
745.2 IPS |
|
|
Object Detection (HP)
|
100% |
9038
716.9 IPS |
|
|
Object Detection (Q)
|
88% |
23090
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
20028
238.0 IPS |
|
|
Face Detection (HP)
|
100% |
19850
235.9 IPS |
|
|
Face Detection (Q)
|
100% |
54308
645.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
26690
205.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
27842
214.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
76495
595.4 IPS |
|
|
Style Transfer (SP)
|
100% |
88473
113.7 IPS |
|
|
Style Transfer (HP)
|
100% |
88199
113.4 IPS |
|
|
Style Transfer (Q)
|
98% |
315951
407.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16663
615.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16620
613.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
42584
1.58 KIPS |
|
|
Text Classification (SP)
|
100% |
5157
6.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5275
7.04 KIPS |
|
|
Text Classification (Q)
|
92% |
6185
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
9175
158.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9290
160.0 IPS |
|
|
Machine Translation (Q)
|
100% |
9748
167.9 IPS |