Upload Date | April 13 2024 10:35 AM |
Views | 2 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. B550 AORUS PRO |
Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS PRO |
Power Plan | Hchstleistung |
CPU Information | |
---|---|
Name | AMD Ryzen 5 5600X |
Topology | 1 Processor, 6 Cores, 12 Threads |
Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
Base Frequency | 3.70 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 | 32.0 MB x 1 |
Memory Information | |
---|---|
Size | 16.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
1402
262.4 IPS |
|
Image Classification (F16)
|
100% |
1748
327.0 IPS |
|
Image Classification (I8)
|
97% |
3067
573.9 IPS |
|
Image Segmentation (F32)
|
100% |
1430
23.9 IPS |
|
Image Segmentation (F16)
|
100% |
1407
23.5 IPS |
|
Image Segmentation (I8)
|
97% |
1596
26.6 IPS |
|
Pose Estimation (F32)
|
100% |
3956
4.79 IPS |
|
Pose Estimation (F16)
|
100% |
4456
5.40 IPS |
|
Pose Estimation (I8)
|
100% |
9532
11.5 IPS |
|
Object Detection (F32)
|
100% |
1488
111.1 IPS |
|
Object Detection (F16)
|
100% |
1584
118.2 IPS |
|
Object Detection (I8)
|
60% |
1765
131.7 IPS |
|
Face Detection (F32)
|
100% |
2243
26.7 IPS |
|
Face Detection (F16)
|
100% |
2407
28.6 IPS |
|
Face Detection (I8)
|
87% |
3525
41.9 IPS |
|
Depth Estimation (F32)
|
100% |
4186
32.5 IPS |
|
Depth Estimation (F16)
|
100% |
4734
36.7 IPS |
|
Depth Estimation (I8)
|
74% |
8279
64.2 IPS |
|
Style Transfer (F32)
|
100% |
9737
12.8 IPS |
|
Style Transfer (F16)
|
100% |
9771
12.9 IPS |
|
Style Transfer (I8)
|
85% |
12028
15.8 IPS |
|
Image Super-Resolution (F32)
|
100% |
2493
89.0 IPS |
|
Image Super-Resolution (F16)
|
100% |
1928
68.9 IPS |
|
Image Super-Resolution (I8)
|
97% |
3191
114.0 IPS |
|
Text Classification (F32)
|
100% |
1579
2.27 KIPS |
|
Text Classification (F16)
|
100% |
1365
1.96 KIPS |
|
Text Classification (I8)
|
94% |
361
519.3 IPS |
|
Machine Translation (F32)
|
100% |
1840
33.9 IPS |
|
Machine Translation (F16)
|
100% |
1861
34.2 IPS |
|
Machine Translation (I8)
|
67% |
2191
40.3 IPS |