| User | MrCrispr |
| Upload Date | February 01 2026 11:14 PM |
| 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 | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9709
1.81 KIPS |
|
|
Image Classification (HP)
|
100% |
9723
1.81 KIPS |
|
|
Image Classification (Q)
|
100% |
23233
4.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9815
159.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9644
156.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25311
410.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17817
20.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
17874
20.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
72247
84.6 IPS |
|
|
Object Detection (SP)
|
100% |
8192
649.8 IPS |
|
|
Object Detection (HP)
|
100% |
8109
643.2 IPS |
|
|
Object Detection (Q)
|
88% |
24421
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
15442
183.5 IPS |
|
|
Face Detection (HP)
|
100% |
15994
190.0 IPS |
|
|
Face Detection (Q)
|
100% |
59319
704.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
19458
149.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
19872
153.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
68100
530.0 IPS |
|
|
Style Transfer (SP)
|
100% |
50619
65.1 IPS |
|
|
Style Transfer (HP)
|
100% |
50025
64.3 IPS |
|
|
Style Transfer (Q)
|
98% |
188210
242.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11962
441.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11793
435.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35230
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
7558
10.1 KIPS |
|
|
Text Classification (HP)
|
100% |
7567
10.1 KIPS |
|
|
Text Classification (Q)
|
92% |
10171
13.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
12008
206.8 IPS |
|
|
Machine Translation (HP)
|
100% |
12314
212.1 IPS |
|
|
Machine Translation (Q)
|
100% |
15315
263.8 IPS |