User | kinski |
Upload Date | August 20 2024 03:24 PM |
Views | 3 |
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% |
1178
219.2 IPS |
|
Image Classification (HP)
|
100% |
112
20.8 IPS |
|
Image Classification (Q)
|
97% |
1579
294.6 IPS |
|
Image Segmentation (SP)
|
100% |
525
8.51 IPS |
|
Image Segmentation (HP)
|
100% |
154
2.49 IPS |
|
Image Segmentation (Q)
|
97% |
1480
24.1 IPS |
|
Pose Estimation (SP)
|
100% |
5072
5.92 IPS |
|
Pose Estimation (HP)
|
100% |
3871
4.52 IPS |
|
Pose Estimation (Q)
|
87% |
6192
7.31 IPS |
|
Object Detection (SP)
|
100% |
1391
110.3 IPS |
|
Object Detection (HP)
|
100% |
154
12.2 IPS |
|
Object Detection (Q)
|
86% |
1069
86.0 IPS |
|
Face Detection (SP)
|
100% |
1757
20.9 IPS |
|
Face Detection (HP)
|
100% |
241
2.86 IPS |
|
Face Detection (Q)
|
96% |
2651
31.6 IPS |
|
Depth Estimation (SP)
|
100% |
4879
37.6 IPS |
|
Depth Estimation (HP)
|
99% |
741
5.71 IPS |
|
Depth Estimation (Q)
|
76% |
4160
33.5 IPS |
|
Style Transfer (SP)
|
100% |
10974
14.1 IPS |
|
Style Transfer (HP)
|
100% |
8873
11.4 IPS |
|
Style Transfer (Q)
|
87% |
10522
13.7 IPS |
|
Image Super-Resolution (SP)
|
100% |
1645
60.7 IPS |
|
Image Super-Resolution (HP)
|
100% |
1351
49.9 IPS |
|
Image Super-Resolution (Q)
|
97% |
1873
69.4 IPS |
|
Text Classification (SP)
|
100% |
1126
1.50 KIPS |
|
Text Classification (HP)
|
100% |
451
602.2 IPS |
|
Text Classification (Q)
|
97% |
382
512.1 IPS |
|
Machine Translation (SP)
|
100% |
1233
21.2 IPS |
|
Machine Translation (HP)
|
100% |
489
8.42 IPS |
|
Machine Translation (Q)
|
60% |
1221
27.2 IPS |