| User | MrCrispr |
| Upload Date | January 28 2026 05:45 PM |
| Views | 5 |
| 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 | High performance |
| 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% |
7072
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
6924
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
18670
3.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9831
159.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10316
167.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
29323
475.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
29266
34.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
29186
34.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
119496
139.9 IPS |
|
|
Object Detection (SP)
|
100% |
8076
640.6 IPS |
|
|
Object Detection (HP)
|
100% |
8286
657.2 IPS |
|
|
Object Detection (Q)
|
88% |
21296
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
17598
209.1 IPS |
|
|
Face Detection (HP)
|
100% |
19015
225.9 IPS |
|
|
Face Detection (Q)
|
100% |
53218
632.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
23073
177.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
22236
171.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
66770
519.6 IPS |
|
|
Style Transfer (SP)
|
100% |
76581
98.4 IPS |
|
|
Style Transfer (HP)
|
100% |
77578
99.7 IPS |
|
|
Style Transfer (Q)
|
98% |
274135
353.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13851
511.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14368
530.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39928
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
4971
6.63 KIPS |
|
|
Text Classification (HP)
|
100% |
5103
6.81 KIPS |
|
|
Text Classification (Q)
|
92% |
6056
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
8624
148.6 IPS |
|
|
Machine Translation (HP)
|
100% |
8446
145.5 IPS |
|
|
Machine Translation (Q)
|
100% |
9399
161.9 IPS |