| User | aeonsim |
| Upload Date | November 18 2024 07:11 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 | Turbo |
| 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% |
2802
521.1 IPS |
|
|
Image Classification (HP)
|
100% |
2777
516.4 IPS |
|
|
Image Classification (Q)
|
100% |
5039
937.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1071
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1063
17.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3931
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6214
7.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
6247
7.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
13690
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
2389
189.5 IPS |
|
|
Object Detection (HP)
|
100% |
2401
190.4 IPS |
|
|
Object Detection (Q)
|
87% |
4905
393.4 IPS |
|
|
Face Detection (SP)
|
100% |
4117
48.9 IPS |
|
|
Face Detection (HP)
|
100% |
3962
47.1 IPS |
|
|
Face Detection (Q)
|
97% |
11744
140.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6873
53.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
6139
47.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
11751
92.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16918
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
16998
21.9 IPS |
|
|
Style Transfer (Q)
|
98% |
39097
50.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3472
128.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3425
126.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7904
292.8 IPS |
|
|
Text Classification (SP)
|
100% |
1584
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
1575
2.10 KIPS |
|
|
Text Classification (Q)
|
91% |
1144
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2758
47.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2719
46.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2764
47.6 IPS |