| User | domdtxdissar |
| Upload Date | April 13 2025 11:54 AM |
| Views | 5 |
| 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% |
7491
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
8245
1.53 KIPS |
|
|
Image Classification (Q)
|
100% |
20308
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10743
174.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10530
170.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
28450
461.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
34162
39.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
34011
39.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
132167
154.7 IPS |
|
|
Object Detection (SP)
|
100% |
9420
747.2 IPS |
|
|
Object Detection (HP)
|
100% |
9177
727.9 IPS |
|
|
Object Detection (Q)
|
88% |
22430
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
20010
237.8 IPS |
|
|
Face Detection (HP)
|
100% |
20219
240.2 IPS |
|
|
Face Detection (Q)
|
100% |
52812
627.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
26640
205.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
27952
215.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
73934
575.4 IPS |
|
|
Style Transfer (SP)
|
100% |
86494
111.2 IPS |
|
|
Style Transfer (HP)
|
100% |
82683
106.3 IPS |
|
|
Style Transfer (Q)
|
98% |
300809
387.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15913
587.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15833
584.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41310
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
5067
6.76 KIPS |
|
|
Text Classification (HP)
|
100% |
4822
6.44 KIPS |
|
|
Text Classification (Q)
|
92% |
5991
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
8790
151.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9502
163.7 IPS |
|
|
Machine Translation (Q)
|
100% |
9945
171.3 IPS |