| Upload Date | November 19 2025 09:38 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 HERO |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6974
1.30 KIPS |
|
|
Image Classification (HP)
|
100% |
6870
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
18025
3.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9647
156.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10331
167.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
26319
426.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
29291
34.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
29169
34.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
120746
141.4 IPS |
|
|
Object Detection (SP)
|
100% |
8623
684.0 IPS |
|
|
Object Detection (HP)
|
100% |
8714
691.2 IPS |
|
|
Object Detection (Q)
|
88% |
20057
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
19359
230.0 IPS |
|
|
Face Detection (HP)
|
100% |
20446
242.9 IPS |
|
|
Face Detection (Q)
|
100% |
50874
604.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
25065
193.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
24389
187.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
64917
505.2 IPS |
|
|
Style Transfer (SP)
|
100% |
75565
97.1 IPS |
|
|
Style Transfer (HP)
|
100% |
77849
100.1 IPS |
|
|
Style Transfer (Q)
|
98% |
276472
356.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14278
527.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14394
531.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38606
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
4925
6.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4857
6.48 KIPS |
|
|
Text Classification (Q)
|
92% |
5563
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
8321
143.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8500
146.4 IPS |
|
|
Machine Translation (Q)
|
100% |
9014
155.3 IPS |