| User | amabuaish |
| Upload Date | April 10 2025 07:48 PM |
| Views | 17 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop M3500QC_M3500QC |
| Motherboard | ASUSTeK COMPUTER INC. M3500QC |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2203
409.6 IPS |
|
|
Image Classification (HP)
|
100% |
474
88.2 IPS |
|
|
Image Classification (Q)
|
96% |
3686
688.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1273
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
675
10.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
2195
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3754
4.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
3245
3.79 IPS |
|
|
Pose Estimation (Q)
|
86% |
7971
9.42 IPS |
|
|
Object Detection (SP)
|
100% |
1935
153.5 IPS |
|
|
Object Detection (HP)
|
100% |
582
46.2 IPS |
|
|
Object Detection (Q)
|
58% |
2475
270.4 IPS |
|
|
Face Detection (SP)
|
100% |
2522
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
1109
13.2 IPS |
|
|
Face Detection (Q)
|
96% |
5740
68.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5474
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1808
13.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
7503
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9430
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
7761
9.98 IPS |
|
|
Style Transfer (Q)
|
87% |
10582
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1799
66.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1527
56.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2109
78.2 IPS |
|
|
Text Classification (SP)
|
100% |
1317
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
640
854.8 IPS |
|
|
Text Classification (Q)
|
97% |
1346
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1749
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
579
9.97 IPS |
|
|
Machine Translation (Q)
|
68% |
2261
43.7 IPS |