| User | aeonsim |
| Upload Date | November 18 2024 06:25 AM |
| Views | 15 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7435HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA506NFR_TUF506NFR |
| Motherboard | ASUSTeK COMPUTER INC. FA506NFR |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7435HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2535
471.5 IPS |
|
|
Image Classification (HP)
|
100% |
2502
465.4 IPS |
|
|
Image Classification (Q)
|
100% |
5160
959.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
928
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1045
16.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4085
66.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5936
6.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
5844
6.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
12332
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
2059
163.4 IPS |
|
|
Object Detection (HP)
|
100% |
2257
179.1 IPS |
|
|
Object Detection (Q)
|
87% |
4507
361.5 IPS |
|
|
Face Detection (SP)
|
100% |
3819
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
3745
44.5 IPS |
|
|
Face Detection (Q)
|
97% |
10036
119.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6584
50.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
6325
48.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
12449
98.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16600
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
15822
20.3 IPS |
|
|
Style Transfer (Q)
|
98% |
35947
46.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3186
117.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3381
124.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7663
283.8 IPS |
|
|
Text Classification (SP)
|
100% |
1536
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
1557
2.08 KIPS |
|
|
Text Classification (Q)
|
91% |
1175
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2522
43.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2256
38.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2458
42.3 IPS |