| User | naganannan |
| Upload Date | January 06 2026 09:34 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 | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7572
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
7609
1.42 KIPS |
|
|
Image Classification (Q)
|
100% |
19232
3.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8087
131.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7883
127.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21241
344.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14711
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14682
17.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
57605
67.4 IPS |
|
|
Object Detection (SP)
|
100% |
7494
594.4 IPS |
|
|
Object Detection (HP)
|
100% |
7543
598.3 IPS |
|
|
Object Detection (Q)
|
88% |
20411
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
17537
208.4 IPS |
|
|
Face Detection (HP)
|
100% |
17327
205.9 IPS |
|
|
Face Detection (Q)
|
100% |
49159
584.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17965
138.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
18036
139.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
53852
419.1 IPS |
|
|
Style Transfer (SP)
|
100% |
40107
51.6 IPS |
|
|
Style Transfer (HP)
|
100% |
40226
51.7 IPS |
|
|
Style Transfer (Q)
|
98% |
147163
189.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9282
342.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9284
342.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28341
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
6184
8.25 KIPS |
|
|
Text Classification (HP)
|
100% |
6168
8.23 KIPS |
|
|
Text Classification (Q)
|
92% |
9701
13.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
11567
199.2 IPS |
|
|
Machine Translation (HP)
|
100% |
11569
199.3 IPS |
|
|
Machine Translation (Q)
|
100% |
15171
261.3 IPS |