| User | TILR |
| Upload Date | September 25 2025 08:09 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650-A GAMING WIFI |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7300
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
7351
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
18903
3.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7731
125.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7725
125.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
20843
337.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14054
16.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
14193
16.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
57613
67.4 IPS |
|
|
Object Detection (SP)
|
100% |
6617
524.8 IPS |
|
|
Object Detection (HP)
|
100% |
6728
533.7 IPS |
|
|
Object Detection (Q)
|
88% |
20168
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
15630
185.7 IPS |
|
|
Face Detection (HP)
|
100% |
15552
184.8 IPS |
|
|
Face Detection (Q)
|
100% |
48450
575.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16676
128.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
16710
128.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
52621
409.5 IPS |
|
|
Style Transfer (SP)
|
100% |
38815
49.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39881
51.3 IPS |
|
|
Style Transfer (Q)
|
98% |
144793
186.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8753
323.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8910
329.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28268
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
6293
8.40 KIPS |
|
|
Text Classification (HP)
|
100% |
6318
8.43 KIPS |
|
|
Text Classification (Q)
|
92% |
9084
12.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
10442
179.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10593
182.5 IPS |
|
|
Machine Translation (Q)
|
100% |
13681
235.7 IPS |