| Upload Date | November 28 2025 12:02 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 5 340 w/ Radeon 840M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook 16 M1607KA_M1607KA |
| Motherboard | ASUSTeK COMPUTER INC. M1607KA |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 5 340 w/ Radeon 840M |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2083
387.5 IPS |
|
|
Image Classification (HP)
|
100% |
659
122.6 IPS |
|
|
Image Classification (Q)
|
99% |
6229
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1142
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1044
16.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7507
122.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4356
5.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
3692
4.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
17474
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
2040
161.8 IPS |
|
|
Object Detection (HP)
|
100% |
927
73.5 IPS |
|
|
Object Detection (Q)
|
86% |
6545
526.0 IPS |
|
|
Face Detection (SP)
|
100% |
3784
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
1571
18.7 IPS |
|
|
Face Detection (Q)
|
97% |
8971
107.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5931
45.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2320
17.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
14605
116.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10772
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9443
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
18308
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2133
78.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1935
71.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3612
133.8 IPS |
|
|
Text Classification (SP)
|
100% |
1930
2.58 KIPS |
|
|
Text Classification (HP)
|
100% |
1097
1.46 KIPS |
|
|
Text Classification (Q)
|
97% |
1982
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2311
39.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1027
17.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3846
77.3 IPS |