| Upload Date | November 13 2025 02:13 PM |
| Views | 2 |
| 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 | Bitsum Highest Performance |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8111
1.51 KIPS |
|
|
Image Classification (HP)
|
100% |
7797
1.45 KIPS |
|
|
Image Classification (Q)
|
100% |
19730
3.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10690
173.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
10743
174.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
31171
505.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
35831
41.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
36017
42.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
139241
163.0 IPS |
|
|
Object Detection (SP)
|
100% |
9889
784.4 IPS |
|
|
Object Detection (HP)
|
100% |
9377
743.8 IPS |
|
|
Object Detection (Q)
|
88% |
21634
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
19977
237.4 IPS |
|
|
Face Detection (HP)
|
100% |
21394
254.2 IPS |
|
|
Face Detection (Q)
|
100% |
53996
641.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
30405
234.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
28769
221.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
75617
588.4 IPS |
|
|
Style Transfer (SP)
|
100% |
89276
114.8 IPS |
|
|
Style Transfer (HP)
|
100% |
91450
117.6 IPS |
|
|
Style Transfer (Q)
|
98% |
308155
397.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16356
604.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16033
592.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
42017
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
5331
7.12 KIPS |
|
|
Text Classification (HP)
|
100% |
5683
7.59 KIPS |
|
|
Text Classification (Q)
|
92% |
5868
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
9448
162.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9338
160.8 IPS |
|
|
Machine Translation (Q)
|
100% |
9973
171.8 IPS |