| User | tatianyi |
| Upload Date | April 23 2025 04:34 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7940H w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507XV_FA507XV |
| Motherboard | ASUSTeK COMPUTER INC. FA507XV |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940H w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2996
557.2 IPS |
|
|
Image Classification (HP)
|
100% |
2994
556.8 IPS |
|
|
Image Classification (Q)
|
100% |
9259
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3437
55.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3556
57.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9566
155.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6783
7.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
6629
7.73 IPS |
|
|
Pose Estimation (Q)
|
98% |
28163
33.0 IPS |
|
|
Object Detection (SP)
|
100% |
2928
232.2 IPS |
|
|
Object Detection (HP)
|
100% |
2921
231.7 IPS |
|
|
Object Detection (Q)
|
88% |
8432
675.9 IPS |
|
|
Face Detection (SP)
|
100% |
6610
78.5 IPS |
|
|
Face Detection (HP)
|
100% |
6626
78.7 IPS |
|
|
Face Detection (Q)
|
100% |
21111
250.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7079
54.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6298
48.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
20901
162.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18796
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19262
24.8 IPS |
|
|
Style Transfer (Q)
|
98% |
72589
93.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3758
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3607
133.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13188
488.4 IPS |
|
|
Text Classification (SP)
|
100% |
3351
4.47 KIPS |
|
|
Text Classification (HP)
|
100% |
3263
4.36 KIPS |
|
|
Text Classification (Q)
|
92% |
4787
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3818
65.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3746
64.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4831
83.2 IPS |