| User | hitch22 |
| Upload Date | November 01 2025 10:05 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 260 w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A14 FA401UM_FA401UM |
| Motherboard | ASUSTeK COMPUTER INC. FA401UM |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 260 w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3526
655.7 IPS |
|
|
Image Classification (HP)
|
100% |
698
129.8 IPS |
|
|
Image Classification (Q)
|
99% |
8313
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1514
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
890
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
10090
164.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6272
7.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
5302
6.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
25464
29.9 IPS |
|
|
Object Detection (SP)
|
100% |
2835
224.9 IPS |
|
|
Object Detection (HP)
|
100% |
889
70.5 IPS |
|
|
Object Detection (Q)
|
86% |
7616
612.1 IPS |
|
|
Face Detection (SP)
|
100% |
5770
68.6 IPS |
|
|
Face Detection (HP)
|
100% |
1780
21.2 IPS |
|
|
Face Detection (Q)
|
97% |
10156
121.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8135
62.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2739
21.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
8322
66.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14992
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13045
16.8 IPS |
|
|
Style Transfer (Q)
|
98% |
27856
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2432
89.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2357
87.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6547
242.4 IPS |
|
|
Text Classification (SP)
|
100% |
2241
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
924
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
1840
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2320
40.0 IPS |
|
|
Machine Translation (HP)
|
100% |
966
16.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3323
66.8 IPS |