| User | MrCrispr |
| Upload Date | October 23 2025 11:04 AM |
| Views | 2 |
| 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% |
7206
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
7765
1.44 KIPS |
|
|
Image Classification (Q)
|
100% |
19120
3.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9599
155.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9651
156.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
26752
433.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
31592
36.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
31296
36.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
126396
148.0 IPS |
|
|
Object Detection (SP)
|
100% |
9062
718.8 IPS |
|
|
Object Detection (HP)
|
100% |
9222
731.5 IPS |
|
|
Object Detection (Q)
|
88% |
21361
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
17326
205.9 IPS |
|
|
Face Detection (HP)
|
100% |
18874
224.3 IPS |
|
|
Face Detection (Q)
|
100% |
52417
622.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
23405
180.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23820
183.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
71819
558.9 IPS |
|
|
Style Transfer (SP)
|
100% |
81761
105.1 IPS |
|
|
Style Transfer (HP)
|
100% |
82875
106.5 IPS |
|
|
Style Transfer (Q)
|
98% |
296857
382.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14912
550.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15279
564.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40672
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
4850
6.47 KIPS |
|
|
Text Classification (HP)
|
100% |
5144
6.87 KIPS |
|
|
Text Classification (Q)
|
92% |
5890
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
8812
151.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8945
154.1 IPS |
|
|
Machine Translation (Q)
|
100% |
9966
171.7 IPS |