| User | MrCrispr |
| Upload Date | August 29 2025 04:38 AM |
| Views | 7 |
| 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% |
7470
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
7036
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
18073
3.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9711
157.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10261
166.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
26749
433.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
30897
36.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
30839
36.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
126748
148.4 IPS |
|
|
Object Detection (SP)
|
100% |
8855
702.4 IPS |
|
|
Object Detection (HP)
|
100% |
8567
679.5 IPS |
|
|
Object Detection (Q)
|
88% |
21252
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
20404
242.4 IPS |
|
|
Face Detection (HP)
|
100% |
17926
213.0 IPS |
|
|
Face Detection (Q)
|
100% |
55465
659.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
23740
182.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
23952
184.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
67916
528.5 IPS |
|
|
Style Transfer (SP)
|
100% |
80947
104.1 IPS |
|
|
Style Transfer (HP)
|
100% |
81814
105.2 IPS |
|
|
Style Transfer (Q)
|
98% |
288257
371.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15124
558.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14662
541.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41834
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
5312
7.09 KIPS |
|
|
Text Classification (HP)
|
100% |
5008
6.68 KIPS |
|
|
Text Classification (Q)
|
92% |
6295
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
8786
151.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8899
153.3 IPS |
|
|
Machine Translation (Q)
|
100% |
9360
161.2 IPS |