| User | CoreRemnant |
| Upload Date | August 15 2024 07:12 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop M3401QA_M3401QA |
| Motherboard | ASUSTeK COMPUTER INC. M3401QA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900HX |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1268
235.8 IPS |
|
|
Image Classification (HP)
|
100% |
129
24.0 IPS |
|
|
Image Classification (Q)
|
97% |
2536
473.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1250
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
197
3.20 IPS |
|
|
Image Segmentation (Q)
|
97% |
1737
28.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3737
4.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
3224
3.76 IPS |
|
|
Pose Estimation (Q)
|
87% |
9419
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1475
117.0 IPS |
|
|
Object Detection (HP)
|
100% |
179
14.2 IPS |
|
|
Object Detection (Q)
|
86% |
1541
123.8 IPS |
|
|
Face Detection (SP)
|
100% |
1307
15.5 IPS |
|
|
Face Detection (HP)
|
100% |
242
2.87 IPS |
|
|
Face Detection (Q)
|
96% |
2569
30.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4523
34.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
844
6.50 IPS |
|
|
Depth Estimation (Q)
|
76% |
4545
36.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10551
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8615
11.1 IPS |
|
|
Style Transfer (Q)
|
87% |
10623
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1775
65.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1549
57.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2285
84.7 IPS |
|
|
Text Classification (SP)
|
100% |
1655
2.21 KIPS |
|
|
Text Classification (HP)
|
100% |
589
786.2 IPS |
|
|
Text Classification (Q)
|
97% |
379
507.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1310
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
509
8.76 IPS |
|
|
Machine Translation (Q)
|
60% |
1350
30.1 IPS |