| User | domdtxdissar |
| Upload Date | April 16 2025 02:07 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% |
8536
1.59 KIPS |
|
|
Image Classification (HP)
|
100% |
7533
1.40 KIPS |
|
|
Image Classification (Q)
|
100% |
18915
3.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10275
166.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10720
173.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
29578
479.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
35449
41.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
35782
41.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
138070
161.6 IPS |
|
|
Object Detection (SP)
|
100% |
9524
755.5 IPS |
|
|
Object Detection (HP)
|
100% |
9072
719.6 IPS |
|
|
Object Detection (Q)
|
88% |
22524
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
22330
265.3 IPS |
|
|
Face Detection (HP)
|
100% |
20731
246.3 IPS |
|
|
Face Detection (Q)
|
100% |
57496
683.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
28121
216.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
29871
230.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
77898
606.3 IPS |
|
|
Style Transfer (SP)
|
100% |
90346
116.1 IPS |
|
|
Style Transfer (HP)
|
100% |
90107
115.8 IPS |
|
|
Style Transfer (Q)
|
98% |
313353
404.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16472
608.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16336
603.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
42716
1.58 KIPS |
|
|
Text Classification (SP)
|
100% |
5241
6.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5218
6.97 KIPS |
|
|
Text Classification (Q)
|
92% |
6094
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
9325
160.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9638
166.0 IPS |
|
|
Machine Translation (Q)
|
100% |
10231
176.2 IPS |