| Upload Date | November 28 2025 12:13 AM |
| Views | 3 |
| 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% |
1816
337.8 IPS |
|
|
Image Classification (HP)
|
100% |
529
98.4 IPS |
|
|
Image Classification (Q)
|
99% |
5696
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1218
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1061
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5538
90.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3546
4.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
3263
3.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
12939
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
2014
159.8 IPS |
|
|
Object Detection (HP)
|
100% |
738
58.5 IPS |
|
|
Object Detection (Q)
|
86% |
5636
453.0 IPS |
|
|
Face Detection (SP)
|
100% |
3298
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
1485
17.6 IPS |
|
|
Face Detection (Q)
|
97% |
8023
95.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5310
40.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2195
16.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
13205
105.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9562
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8698
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
16300
21.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1602
59.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1989
73.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3670
135.9 IPS |
|
|
Text Classification (SP)
|
100% |
1796
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1028
1.37 KIPS |
|
|
Text Classification (Q)
|
97% |
1919
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2073
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1004
17.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3749
75.3 IPS |