User | kinski |
Upload Date | August 20 2024 02:44 PM |
Views | 4 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | AMD Ryzen 7 PRO 4750G |
System Information | |
---|---|
Operating System | Microsoft Windows 10 Pro (64-bit) |
Model | Generic |
Motherboard | ASRock X300M-STX |
Power Plan | AMD Ryzen High Performance |
CPU Information | |
---|---|
Name | AMD Ryzen 7 PRO 4750G |
Topology | 1 Processor, 8 Cores, 16 Threads |
Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
Base Frequency | 3.60 GHz |
Cluster 1 | 8 Cores |
Memory Information | |
---|---|
Size | 64.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1292
240.3 IPS |
|
Image Classification (HP)
|
100% |
107
20.0 IPS |
|
Image Classification (Q)
|
97% |
1463
272.9 IPS |
|
Image Segmentation (SP)
|
100% |
507
8.23 IPS |
|
Image Segmentation (HP)
|
100% |
146
2.36 IPS |
|
Image Segmentation (Q)
|
97% |
1398
22.7 IPS |
|
Pose Estimation (SP)
|
100% |
5413
6.32 IPS |
|
Pose Estimation (HP)
|
100% |
4511
5.26 IPS |
|
Pose Estimation (Q)
|
87% |
6089
7.19 IPS |
|
Object Detection (SP)
|
100% |
1415
112.2 IPS |
|
Object Detection (HP)
|
100% |
136
10.8 IPS |
|
Object Detection (Q)
|
86% |
935
75.2 IPS |
|
Face Detection (SP)
|
100% |
1480
17.6 IPS |
|
Face Detection (HP)
|
100% |
221
2.63 IPS |
|
Face Detection (Q)
|
96% |
2355
28.1 IPS |
|
Depth Estimation (SP)
|
100% |
5212
40.2 IPS |
|
Depth Estimation (HP)
|
99% |
729
5.62 IPS |
|
Depth Estimation (Q)
|
76% |
3893
31.4 IPS |
|
Style Transfer (SP)
|
100% |
12014
15.4 IPS |
|
Style Transfer (HP)
|
100% |
10126
13.0 IPS |
|
Style Transfer (Q)
|
87% |
9734
12.7 IPS |
|
Image Super-Resolution (SP)
|
100% |
1824
67.4 IPS |
|
Image Super-Resolution (HP)
|
100% |
1493
55.1 IPS |
|
Image Super-Resolution (Q)
|
97% |
1743
64.6 IPS |
|
Text Classification (SP)
|
100% |
1217
1.62 KIPS |
|
Text Classification (HP)
|
100% |
469
625.4 IPS |
|
Text Classification (Q)
|
97% |
361
483.7 IPS |
|
Machine Translation (SP)
|
100% |
1225
21.1 IPS |
|
Machine Translation (HP)
|
100% |
481
8.29 IPS |
|
Machine Translation (Q)
|
60% |
1125
25.1 IPS |