| User | MrCrispr |
| Upload Date | August 31 2025 04:04 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| 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% |
6893
1.28 KIPS |
|
|
Image Classification (HP)
|
100% |
7079
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
18429
3.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9902
160.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9841
159.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
28337
459.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
31864
37.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
31668
37.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
127133
148.8 IPS |
|
|
Object Detection (SP)
|
100% |
8746
693.8 IPS |
|
|
Object Detection (HP)
|
100% |
8534
676.9 IPS |
|
|
Object Detection (Q)
|
88% |
21683
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
19754
234.7 IPS |
|
|
Face Detection (HP)
|
100% |
18723
222.5 IPS |
|
|
Face Detection (Q)
|
100% |
60484
718.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
24507
188.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
24278
187.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
70474
548.4 IPS |
|
|
Style Transfer (SP)
|
100% |
82860
106.5 IPS |
|
|
Style Transfer (HP)
|
100% |
82508
106.1 IPS |
|
|
Style Transfer (Q)
|
98% |
299697
386.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15049
555.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14996
553.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41039
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
5334
7.12 KIPS |
|
|
Text Classification (HP)
|
100% |
5157
6.88 KIPS |
|
|
Text Classification (Q)
|
92% |
6202
8.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
8977
154.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9295
160.1 IPS |
|
|
Machine Translation (Q)
|
100% |
9661
166.4 IPS |