| User | MrCrispr |
| Upload Date | February 01 2026 05:47 PM |
| Views | 9 |
| 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% |
6584
1.22 KIPS |
|
|
Image Classification (HP)
|
100% |
6712
1.25 KIPS |
|
|
Image Classification (Q)
|
100% |
16393
3.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8393
136.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8544
138.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23433
379.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27226
31.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
27463
32.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
114425
134.0 IPS |
|
|
Object Detection (SP)
|
100% |
7293
578.4 IPS |
|
|
Object Detection (HP)
|
100% |
7632
605.4 IPS |
|
|
Object Detection (Q)
|
88% |
18095
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
16503
196.1 IPS |
|
|
Face Detection (HP)
|
100% |
15899
188.9 IPS |
|
|
Face Detection (Q)
|
100% |
49314
586.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
19664
151.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
19761
152.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
64498
501.9 IPS |
|
|
Style Transfer (SP)
|
100% |
72063
92.6 IPS |
|
|
Style Transfer (HP)
|
100% |
71077
91.4 IPS |
|
|
Style Transfer (Q)
|
98% |
264523
341.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13613
502.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13608
502.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
37291
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
4703
6.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4702
6.28 KIPS |
|
|
Text Classification (Q)
|
92% |
5750
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
7834
134.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7912
136.3 IPS |
|
|
Machine Translation (Q)
|
100% |
8169
140.7 IPS |