| User | egorgaev1996 |
| Upload Date | October 28 2025 09:51 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7735HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507NU_FA507NU |
| Motherboard | ASUSTeK COMPUTER INC. FA507NU |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7735HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3308
615.1 IPS |
|
|
Image Classification (HP)
|
100% |
631
117.4 IPS |
|
|
Image Classification (Q)
|
96% |
5326
994.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
829
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
494
8.01 IPS |
|
|
Image Segmentation (Q)
|
97% |
6263
101.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6085
7.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
5138
5.99 IPS |
|
|
Pose Estimation (Q)
|
86% |
12552
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
3019
239.5 IPS |
|
|
Object Detection (HP)
|
100% |
800
63.4 IPS |
|
|
Object Detection (Q)
|
58% |
3494
381.8 IPS |
|
|
Face Detection (SP)
|
100% |
4681
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
1506
17.9 IPS |
|
|
Face Detection (Q)
|
96% |
8187
97.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8507
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2399
18.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
10761
85.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14958
19.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12623
16.2 IPS |
|
|
Style Transfer (Q)
|
87% |
16572
21.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2620
96.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2169
80.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4540
168.2 IPS |
|
|
Text Classification (SP)
|
100% |
2118
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
1009
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1590
2.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2289
39.4 IPS |
|
|
Machine Translation (HP)
|
100% |
873
15.0 IPS |
|
|
Machine Translation (Q)
|
68% |
2594
50.1 IPS |