| User | tinhpham |
| Upload Date | December 30 2024 09:30 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8840HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP HP Envy x360 2-in-1 Laptop 14-fa0xxx |
| Motherboard | HP 8C69 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2384
443.3 IPS |
|
|
Image Classification (HP)
|
100% |
574
106.8 IPS |
|
|
Image Classification (Q)
|
99% |
7065
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1064
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
730
11.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3203
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4683
5.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
3936
4.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
20486
24.0 IPS |
|
|
Object Detection (SP)
|
100% |
2469
195.8 IPS |
|
|
Object Detection (HP)
|
100% |
684
54.2 IPS |
|
|
Object Detection (Q)
|
86% |
6518
523.9 IPS |
|
|
Face Detection (SP)
|
100% |
4374
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
1486
17.7 IPS |
|
|
Face Detection (Q)
|
97% |
9591
114.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6553
50.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2213
17.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
6752
53.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12908
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10877
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
21698
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2087
77.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1790
66.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3156
116.8 IPS |
|
|
Text Classification (SP)
|
100% |
1660
2.22 KIPS |
|
|
Text Classification (HP)
|
100% |
732
977.1 IPS |
|
|
Text Classification (Q)
|
97% |
1806
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1848
31.8 IPS |
|
|
Machine Translation (HP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2553
51.3 IPS |