| Upload Date | November 06 2025 03:59 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7700 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC Evaluation (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B650M-K |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4778
888.5 IPS |
|
|
Image Classification (HP)
|
100% |
4754
884.2 IPS |
|
|
Image Classification (Q)
|
100% |
12759
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4912
79.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5240
84.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
14284
231.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8459
9.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
8561
9.99 IPS |
|
|
Pose Estimation (Q)
|
98% |
34013
39.8 IPS |
|
|
Object Detection (SP)
|
100% |
4434
351.7 IPS |
|
|
Object Detection (HP)
|
100% |
4456
353.5 IPS |
|
|
Object Detection (Q)
|
88% |
13176
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
10856
129.0 IPS |
|
|
Face Detection (HP)
|
100% |
10844
128.8 IPS |
|
|
Face Detection (Q)
|
100% |
32648
387.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10950
84.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
11052
85.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
35080
273.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23825
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
23963
30.8 IPS |
|
|
Style Transfer (Q)
|
98% |
89093
114.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5334
197.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5400
199.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17463
646.7 IPS |
|
|
Text Classification (SP)
|
100% |
4350
5.81 KIPS |
|
|
Text Classification (HP)
|
100% |
4415
5.89 KIPS |
|
|
Text Classification (Q)
|
92% |
5940
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
7472
128.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7480
128.8 IPS |
|
|
Machine Translation (Q)
|
100% |
9716
167.4 IPS |