| User | naganannan |
| Upload Date | January 06 2026 10:10 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | Balanserat |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.65 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7663
1.43 KIPS |
|
|
Image Classification (HP)
|
100% |
7635
1.42 KIPS |
|
|
Image Classification (Q)
|
100% |
19667
3.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7951
128.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8065
130.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
21605
350.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14739
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14744
17.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
57609
67.4 IPS |
|
|
Object Detection (SP)
|
100% |
7539
598.0 IPS |
|
|
Object Detection (HP)
|
100% |
7455
591.3 IPS |
|
|
Object Detection (Q)
|
88% |
20863
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
17601
209.1 IPS |
|
|
Face Detection (HP)
|
100% |
17462
207.5 IPS |
|
|
Face Detection (Q)
|
100% |
50350
598.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18009
138.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
17879
137.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
54248
422.2 IPS |
|
|
Style Transfer (SP)
|
100% |
39761
51.1 IPS |
|
|
Style Transfer (HP)
|
100% |
40280
51.8 IPS |
|
|
Style Transfer (Q)
|
98% |
147456
190.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9330
344.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9457
349.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28702
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
6302
8.41 KIPS |
|
|
Text Classification (HP)
|
100% |
6333
8.45 KIPS |
|
|
Text Classification (Q)
|
92% |
10041
13.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
12285
211.6 IPS |
|
|
Machine Translation (HP)
|
100% |
12091
208.3 IPS |
|
|
Machine Translation (Q)
|
100% |
15851
273.0 IPS |