| User | aeonsim |
| Upload Date | November 18 2024 07:21 AM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | ONNX |
| 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 | Performance |
| 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% |
1431
266.2 IPS |
|
|
Image Classification (HP)
|
100% |
447
83.2 IPS |
|
|
Image Classification (Q)
|
96% |
2633
491.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
584
9.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
400
6.48 IPS |
|
|
Image Segmentation (Q)
|
97% |
1754
28.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4378
5.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
3539
4.13 IPS |
|
|
Pose Estimation (Q)
|
87% |
10211
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
1397
110.8 IPS |
|
|
Object Detection (HP)
|
100% |
542
43.0 IPS |
|
|
Object Detection (Q)
|
86% |
1458
117.2 IPS |
|
|
Face Detection (SP)
|
100% |
1708
20.3 IPS |
|
|
Face Detection (HP)
|
100% |
1085
12.9 IPS |
|
|
Face Detection (Q)
|
96% |
2861
34.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4505
34.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1799
13.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
4597
36.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10053
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8891
11.4 IPS |
|
|
Style Transfer (Q)
|
87% |
12105
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1777
65.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1590
58.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2429
90.0 IPS |
|
|
Text Classification (SP)
|
100% |
1636
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
706
942.1 IPS |
|
|
Text Classification (Q)
|
97% |
387
518.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1402
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
511
8.81 IPS |
|
|
Machine Translation (Q)
|
60% |
1447
32.3 IPS |