| User | domdtxdissar |
| Upload Date | April 14 2025 08:17 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% |
7654
1.42 KIPS |
|
|
Image Classification (HP)
|
100% |
8034
1.49 KIPS |
|
|
Image Classification (Q)
|
100% |
19041
3.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11498
186.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10613
172.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
29416
476.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
35936
41.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
35349
41.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
138653
162.3 IPS |
|
|
Object Detection (SP)
|
100% |
9468
751.0 IPS |
|
|
Object Detection (HP)
|
100% |
9544
757.0 IPS |
|
|
Object Detection (Q)
|
88% |
22384
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
20821
247.4 IPS |
|
|
Face Detection (HP)
|
100% |
21248
252.5 IPS |
|
|
Face Detection (Q)
|
100% |
56217
668.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
28049
216.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
30969
238.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
75569
588.2 IPS |
|
|
Style Transfer (SP)
|
100% |
89591
115.2 IPS |
|
|
Style Transfer (HP)
|
100% |
89618
115.2 IPS |
|
|
Style Transfer (Q)
|
98% |
319377
411.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16098
594.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16518
609.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
42356
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
5463
7.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5314
7.09 KIPS |
|
|
Text Classification (Q)
|
92% |
5919
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
9787
168.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9866
169.9 IPS |
|
|
Machine Translation (Q)
|
100% |
10364
178.5 IPS |