| User | MrCrispr |
| Upload Date | February 01 2026 02:23 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% |
5558
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
6061
1.13 KIPS |
|
|
Image Classification (Q)
|
100% |
13818
2.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7618
123.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7762
125.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21354
346.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
28850
33.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
28297
33.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
119089
139.4 IPS |
|
|
Object Detection (SP)
|
100% |
6801
539.4 IPS |
|
|
Object Detection (HP)
|
100% |
7074
561.1 IPS |
|
|
Object Detection (Q)
|
88% |
15577
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
14178
168.5 IPS |
|
|
Face Detection (HP)
|
100% |
13499
160.4 IPS |
|
|
Face Detection (Q)
|
100% |
43712
519.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18768
144.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
19290
148.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
54072
420.8 IPS |
|
|
Style Transfer (SP)
|
100% |
72766
93.5 IPS |
|
|
Style Transfer (HP)
|
100% |
72980
93.8 IPS |
|
|
Style Transfer (Q)
|
98% |
266557
343.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12341
455.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12592
465.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31567
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3798
5.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4013
5.36 KIPS |
|
|
Text Classification (Q)
|
92% |
4249
5.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
6441
110.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6506
112.1 IPS |
|
|
Machine Translation (Q)
|
100% |
6505
112.1 IPS |