| User | MrCrispr |
| Upload Date | August 31 2025 01:53 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% |
7364
1.37 KIPS |
|
|
Image Classification (HP)
|
100% |
7370
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
18543
3.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10324
167.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9656
156.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
29870
484.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
31619
36.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
31558
36.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
126230
147.8 IPS |
|
|
Object Detection (SP)
|
100% |
9036
716.7 IPS |
|
|
Object Detection (HP)
|
100% |
8750
694.0 IPS |
|
|
Object Detection (Q)
|
88% |
22103
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
19699
234.1 IPS |
|
|
Face Detection (HP)
|
100% |
19475
231.4 IPS |
|
|
Face Detection (Q)
|
100% |
58847
699.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
24488
188.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
25626
197.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
70173
546.1 IPS |
|
|
Style Transfer (SP)
|
100% |
81291
104.5 IPS |
|
|
Style Transfer (HP)
|
100% |
81095
104.2 IPS |
|
|
Style Transfer (Q)
|
98% |
298738
385.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15535
573.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15536
573.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41433
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
5400
7.21 KIPS |
|
|
Text Classification (HP)
|
100% |
5512
7.36 KIPS |
|
|
Text Classification (Q)
|
92% |
6078
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
9051
155.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9079
156.4 IPS |
|
|
Machine Translation (Q)
|
100% |
9727
167.5 IPS |