| User | Fur1on |
| Upload Date | April 08 2025 09:45 PM |
| Views | 6 |
| 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 X670E GENE |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7577
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
7603
1.41 KIPS |
|
|
Image Classification (Q)
|
100% |
18569
3.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10388
168.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10367
168.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
29441
477.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
32766
38.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
32454
37.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
130403
152.7 IPS |
|
|
Object Detection (SP)
|
100% |
9284
736.4 IPS |
|
|
Object Detection (HP)
|
100% |
9653
765.7 IPS |
|
|
Object Detection (Q)
|
88% |
21937
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
20149
239.4 IPS |
|
|
Face Detection (HP)
|
100% |
21054
250.2 IPS |
|
|
Face Detection (Q)
|
100% |
54312
645.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
29151
224.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
26820
206.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
75412
586.9 IPS |
|
|
Style Transfer (SP)
|
100% |
84744
108.9 IPS |
|
|
Style Transfer (HP)
|
100% |
83356
107.2 IPS |
|
|
Style Transfer (Q)
|
98% |
295965
381.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14874
549.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15815
584.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
42210
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
4997
6.67 KIPS |
|
|
Text Classification (HP)
|
100% |
5166
6.90 KIPS |
|
|
Text Classification (Q)
|
92% |
6374
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
9026
155.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9058
156.0 IPS |
|
|
Machine Translation (Q)
|
100% |
9463
163.0 IPS |