| User | jiashu |
| Upload Date | March 14 2026 07:16 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-I GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4513
839.3 IPS |
|
|
Image Classification (HP)
|
100% |
4502
837.3 IPS |
|
|
Image Classification (Q)
|
100% |
11869
2.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5138
83.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5210
84.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
13703
222.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8174
9.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
8192
9.56 IPS |
|
|
Pose Estimation (Q)
|
98% |
32615
38.2 IPS |
|
|
Object Detection (SP)
|
100% |
4507
357.5 IPS |
|
|
Object Detection (HP)
|
100% |
4509
357.7 IPS |
|
|
Object Detection (Q)
|
88% |
12340
989.2 IPS |
|
|
Face Detection (SP)
|
100% |
14623
173.8 IPS |
|
|
Face Detection (HP)
|
100% |
14648
174.1 IPS |
|
|
Face Detection (Q)
|
100% |
31775
377.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11489
88.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
11499
88.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
33441
260.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22542
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
22652
29.1 IPS |
|
|
Style Transfer (Q)
|
98% |
84834
109.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5189
191.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5154
190.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16554
613.0 IPS |
|
|
Text Classification (SP)
|
100% |
3835
5.12 KIPS |
|
|
Text Classification (HP)
|
100% |
3848
5.14 KIPS |
|
|
Text Classification (Q)
|
92% |
5806
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
7169
123.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7219
124.4 IPS |
|
|
Machine Translation (Q)
|
100% |
9656
166.3 IPS |