| User | lmeyler |
| Upload Date | October 25 2025 07:06 PM |
| Views | 24 |
| 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 EXTREME |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| 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 | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6441
1.20 KIPS |
|
|
Image Classification (HP)
|
100% |
6358
1.18 KIPS |
|
|
Image Classification (Q)
|
100% |
16031
2.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8646
140.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8832
143.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24084
390.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
27204
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
27642
32.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
110890
129.8 IPS |
|
|
Object Detection (SP)
|
100% |
7971
632.3 IPS |
|
|
Object Detection (HP)
|
100% |
7754
615.0 IPS |
|
|
Object Detection (Q)
|
88% |
18532
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
16583
197.0 IPS |
|
|
Face Detection (HP)
|
100% |
16536
196.5 IPS |
|
|
Face Detection (Q)
|
100% |
49796
591.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
22905
176.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
22173
170.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
59892
466.1 IPS |
|
|
Style Transfer (SP)
|
100% |
71081
91.4 IPS |
|
|
Style Transfer (HP)
|
100% |
71785
92.3 IPS |
|
|
Style Transfer (Q)
|
98% |
260209
335.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13253
489.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13429
495.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34623
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
4427
5.91 KIPS |
|
|
Text Classification (HP)
|
100% |
4360
5.82 KIPS |
|
|
Text Classification (Q)
|
92% |
5364
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
7744
133.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7853
135.3 IPS |
|
|
Machine Translation (Q)
|
100% |
8230
141.8 IPS |