| User | MrCrispr |
| Upload Date | February 01 2026 04:06 PM |
| Views | 15 |
| 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, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9518
1.77 KIPS |
|
|
Image Classification (HP)
|
100% |
9345
1.74 KIPS |
|
|
Image Classification (Q)
|
100% |
22719
4.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8876
143.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8965
145.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25277
409.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17420
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17354
20.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
71122
83.3 IPS |
|
|
Object Detection (SP)
|
100% |
7654
607.1 IPS |
|
|
Object Detection (HP)
|
100% |
7617
604.2 IPS |
|
|
Object Detection (Q)
|
88% |
23684
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
14588
173.3 IPS |
|
|
Face Detection (HP)
|
100% |
14255
169.4 IPS |
|
|
Face Detection (Q)
|
100% |
58676
697.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17621
135.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
17300
133.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
60176
468.3 IPS |
|
|
Style Transfer (SP)
|
100% |
50145
64.5 IPS |
|
|
Style Transfer (HP)
|
100% |
49931
64.2 IPS |
|
|
Style Transfer (Q)
|
98% |
193519
249.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11095
409.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10958
404.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35698
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
7534
10.1 KIPS |
|
|
Text Classification (HP)
|
100% |
7564
10.1 KIPS |
|
|
Text Classification (Q)
|
92% |
10226
13.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
9920
170.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10183
175.4 IPS |
|
|
Machine Translation (Q)
|
100% |
15330
264.1 IPS |