| User | MrCrispr |
| Upload Date | February 02 2026 02:36 AM |
| Views | 6 |
| 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% |
9892
1.84 KIPS |
|
|
Image Classification (HP)
|
100% |
9897
1.84 KIPS |
|
|
Image Classification (Q)
|
100% |
23821
4.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9917
160.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9938
161.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
26841
435.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18499
21.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18418
21.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
74535
87.3 IPS |
|
|
Object Detection (SP)
|
100% |
8531
676.7 IPS |
|
|
Object Detection (HP)
|
100% |
8571
679.8 IPS |
|
|
Object Detection (Q)
|
88% |
25018
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
18693
222.1 IPS |
|
|
Face Detection (HP)
|
100% |
18299
217.4 IPS |
|
|
Face Detection (Q)
|
100% |
60934
724.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
21225
163.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
21291
164.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
70158
546.0 IPS |
|
|
Style Transfer (SP)
|
100% |
52085
67.0 IPS |
|
|
Style Transfer (HP)
|
100% |
52107
67.0 IPS |
|
|
Style Transfer (Q)
|
98% |
195113
251.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12075
445.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11886
438.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36119
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
7705
10.3 KIPS |
|
|
Text Classification (HP)
|
100% |
7733
10.3 KIPS |
|
|
Text Classification (Q)
|
92% |
10301
13.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
12304
211.9 IPS |
|
|
Machine Translation (HP)
|
100% |
12420
213.9 IPS |
|
|
Machine Translation (Q)
|
100% |
15748
271.3 IPS |