| Upload Date | August 11 2024 10:49 AM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B450 I AORUS PRO WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. B450 I AORUS PRO WIFI-CF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1815
337.4 IPS |
|
|
Image Classification (HP)
|
100% |
150
27.9 IPS |
|
|
Image Classification (Q)
|
97% |
3403
635.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1490
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
234
3.79 IPS |
|
|
Image Segmentation (Q)
|
97% |
2068
33.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5579
6.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
4588
5.35 IPS |
|
|
Pose Estimation (Q)
|
87% |
12470
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1934
153.4 IPS |
|
|
Object Detection (HP)
|
100% |
207
16.4 IPS |
|
|
Object Detection (Q)
|
86% |
1777
142.9 IPS |
|
|
Face Detection (SP)
|
100% |
1819
21.6 IPS |
|
|
Face Detection (HP)
|
100% |
291
3.46 IPS |
|
|
Face Detection (Q)
|
96% |
3285
39.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6101
47.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
950
7.32 IPS |
|
|
Depth Estimation (Q)
|
76% |
5450
43.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12857
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11285
14.5 IPS |
|
|
Style Transfer (Q)
|
87% |
13876
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2263
83.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1947
71.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2664
98.7 IPS |
|
|
Text Classification (SP)
|
100% |
1672
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
655
874.1 IPS |
|
|
Text Classification (Q)
|
97% |
413
553.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1804
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
569
9.81 IPS |
|
|
Machine Translation (Q)
|
60% |
1602
35.7 IPS |