Upload Date | September 14 2024 11:56 AM |
Views | 2 |
System Information | |
---|---|
Operating System | Microsoft Windows 10 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. B550M DS3H AC |
Motherboard | Gigabyte Technology Co., Ltd. B550M DS3H AC |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | AMD Ryzen 5 5600G |
Topology | 1 Processor, 6 Cores, 12 Threads |
Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
Base Frequency | 3.90 GHz |
Cluster 1 | 6 Cores |
L1 Instruction Cache | 32.0 KB x 6 |
L1 Data Cache | 32.0 KB x 6 |
L2 Cache | 512 KB x 6 |
L3 Cache | 16.0 MB x 1 |
Memory Information | |
---|---|
Size | 128.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
1408
263.4 IPS |
|
Image Classification (F16)
|
100% |
1391
260.2 IPS |
|
Image Classification (I8)
|
97% |
2627
491.5 IPS |
|
Image Segmentation (F32)
|
100% |
1281
21.4 IPS |
|
Image Segmentation (F16)
|
100% |
1318
22.0 IPS |
|
Image Segmentation (I8)
|
97% |
1690
28.2 IPS |
|
Pose Estimation (F32)
|
100% |
4924
5.96 IPS |
|
Pose Estimation (F16)
|
100% |
4125
5.00 IPS |
|
Pose Estimation (I8)
|
100% |
9112
11.0 IPS |
|
Object Detection (F32)
|
100% |
1591
118.8 IPS |
|
Object Detection (F16)
|
100% |
1595
119.1 IPS |
|
Object Detection (I8)
|
60% |
1312
97.9 IPS |
|
Face Detection (F32)
|
100% |
1827
21.7 IPS |
|
Face Detection (F16)
|
100% |
1862
22.1 IPS |
|
Face Detection (I8)
|
87% |
3014
35.8 IPS |
|
Depth Estimation (F32)
|
100% |
4360
33.8 IPS |
|
Depth Estimation (F16)
|
100% |
4357
33.8 IPS |
|
Depth Estimation (I8)
|
74% |
7732
60.0 IPS |
|
Style Transfer (F32)
|
100% |
10454
13.8 IPS |
|
Style Transfer (F16)
|
100% |
11345
14.9 IPS |
|
Style Transfer (I8)
|
85% |
12761
16.8 IPS |
|
Image Super-Resolution (F32)
|
100% |
1615
57.7 IPS |
|
Image Super-Resolution (F16)
|
100% |
1915
68.4 IPS |
|
Image Super-Resolution (I8)
|
97% |
2494
89.1 IPS |
|
Text Classification (F32)
|
100% |
1627
2.34 KIPS |
|
Text Classification (F16)
|
100% |
1676
2.41 KIPS |
|
Text Classification (I8)
|
94% |
352
506.1 IPS |
|
Machine Translation (F32)
|
100% |
1567
28.8 IPS |
|
Machine Translation (F16)
|
100% |
1480
27.2 IPS |
|
Machine Translation (I8)
|
67% |
1799
33.1 IPS |