| User | MrCrispr |
| Upload Date | February 01 2026 06:33 PM |
| Views | 14 |
| 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% |
6502
1.21 KIPS |
|
|
Image Classification (HP)
|
100% |
6330
1.18 KIPS |
|
|
Image Classification (Q)
|
100% |
17818
3.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8681
140.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8596
139.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25909
420.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
27444
32.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
28431
33.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
116012
135.8 IPS |
|
|
Object Detection (SP)
|
100% |
7443
590.4 IPS |
|
|
Object Detection (HP)
|
100% |
7689
609.9 IPS |
|
|
Object Detection (Q)
|
88% |
18956
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
16999
202.0 IPS |
|
|
Face Detection (HP)
|
100% |
16245
193.0 IPS |
|
|
Face Detection (Q)
|
100% |
48889
580.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20974
161.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
19638
151.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
61293
477.0 IPS |
|
|
Style Transfer (SP)
|
100% |
73449
94.4 IPS |
|
|
Style Transfer (HP)
|
100% |
73171
94.1 IPS |
|
|
Style Transfer (Q)
|
98% |
267237
344.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13586
501.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13754
507.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
37205
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
4401
5.87 KIPS |
|
|
Text Classification (HP)
|
100% |
4606
6.15 KIPS |
|
|
Text Classification (Q)
|
92% |
5605
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
7930
136.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7793
134.2 IPS |
|
|
Machine Translation (Q)
|
100% |
8669
149.3 IPS |