| User | MrCrispr |
| Upload Date | August 31 2025 03:07 AM |
| 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 | Balanced |
| 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% |
7886
1.47 KIPS |
|
|
Image Classification (HP)
|
100% |
7306
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
19692
3.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10173
164.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9606
155.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
27602
447.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
31455
36.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31761
37.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
128826
150.8 IPS |
|
|
Object Detection (SP)
|
100% |
8575
680.2 IPS |
|
|
Object Detection (HP)
|
100% |
8799
697.9 IPS |
|
|
Object Detection (Q)
|
88% |
22033
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
19020
226.0 IPS |
|
|
Face Detection (HP)
|
100% |
20373
242.1 IPS |
|
|
Face Detection (Q)
|
100% |
58377
693.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
25185
194.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
26305
202.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
70309
547.1 IPS |
|
|
Style Transfer (SP)
|
100% |
83737
107.6 IPS |
|
|
Style Transfer (HP)
|
100% |
83120
106.9 IPS |
|
|
Style Transfer (Q)
|
98% |
300701
387.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15319
565.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15640
577.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40252
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
5329
7.11 KIPS |
|
|
Text Classification (HP)
|
100% |
5428
7.25 KIPS |
|
|
Text Classification (Q)
|
92% |
6024
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
9266
159.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9248
159.3 IPS |
|
|
Machine Translation (Q)
|
100% |
9518
164.0 IPS |