| User | NeilB |
| Upload Date | April 04 2025 01:52 PM |
| Views | 14 |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7656
1.42 KIPS |
|
|
Image Classification (HP)
|
100% |
7831
1.46 KIPS |
|
|
Image Classification (Q)
|
100% |
19237
3.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11712
189.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11664
189.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
33705
546.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
33720
39.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
33537
39.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
133920
156.8 IPS |
|
|
Object Detection (SP)
|
100% |
9824
779.3 IPS |
|
|
Object Detection (HP)
|
100% |
9225
731.7 IPS |
|
|
Object Detection (Q)
|
88% |
21432
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
23759
282.3 IPS |
|
|
Face Detection (HP)
|
100% |
23302
276.9 IPS |
|
|
Face Detection (Q)
|
100% |
61389
729.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
29751
229.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
28400
218.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
77313
601.7 IPS |
|
|
Style Transfer (SP)
|
100% |
85439
109.8 IPS |
|
|
Style Transfer (HP)
|
100% |
86183
110.8 IPS |
|
|
Style Transfer (Q)
|
98% |
311155
401.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15756
581.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15861
585.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41102
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
5137
6.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5101
6.81 KIPS |
|
|
Text Classification (Q)
|
92% |
5573
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
9075
156.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9222
158.9 IPS |
|
|
Machine Translation (Q)
|
100% |
9719
167.4 IPS |