| User | MrCrispr |
| Upload Date | August 31 2025 03:00 AM |
| Views | 10 |
| 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% |
7531
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
8085
1.50 KIPS |
|
|
Image Classification (Q)
|
100% |
18930
3.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9908
160.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10459
169.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
27800
450.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
31921
37.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
31993
37.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
128689
150.7 IPS |
|
|
Object Detection (SP)
|
100% |
8539
677.4 IPS |
|
|
Object Detection (HP)
|
100% |
8448
670.1 IPS |
|
|
Object Detection (Q)
|
88% |
20268
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
18267
217.1 IPS |
|
|
Face Detection (HP)
|
100% |
20487
243.4 IPS |
|
|
Face Detection (Q)
|
100% |
52555
624.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
25211
194.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
24604
189.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
71913
559.6 IPS |
|
|
Style Transfer (SP)
|
100% |
83929
107.9 IPS |
|
|
Style Transfer (HP)
|
100% |
82982
106.7 IPS |
|
|
Style Transfer (Q)
|
98% |
300270
387.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16293
601.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15602
576.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41739
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
5171
6.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5527
7.38 KIPS |
|
|
Text Classification (Q)
|
92% |
6477
8.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
9132
157.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9008
155.2 IPS |
|
|
Machine Translation (Q)
|
100% |
10249
176.5 IPS |