Upload Date | May 08 2024 06:00 PM |
Views | 5 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. B450M K |
Motherboard | Gigabyte Technology Co., Ltd. B450M K-CF |
Power Plan | Razer Cortex Power Plan |
CPU Information | |
---|---|
Name | AMD Ryzen 7 5700X3D |
Topology | 1 Processor, 8 Cores, 16 Threads |
Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
Base Frequency | 3.00 GHz |
Cluster 1 | 8 Cores |
L1 Instruction Cache | 32.0 KB x 8 |
L1 Data Cache | 32.0 KB x 8 |
L2 Cache | 512 KB x 8 |
L3 Cache | 96.0 MB x 1 |
Memory Information | |
---|---|
Size | 32.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
1610
301.3 IPS |
|
Image Classification (F16)
|
100% |
1772
331.6 IPS |
|
Image Classification (I8)
|
97% |
3178
594.7 IPS |
|
Image Segmentation (F32)
|
100% |
1739
29.0 IPS |
|
Image Segmentation (F16)
|
100% |
1699
28.4 IPS |
|
Image Segmentation (I8)
|
97% |
1771
29.6 IPS |
|
Pose Estimation (F32)
|
100% |
5351
6.48 IPS |
|
Pose Estimation (F16)
|
100% |
5239
6.34 IPS |
|
Pose Estimation (I8)
|
100% |
11212
13.6 IPS |
|
Object Detection (F32)
|
100% |
1694
126.5 IPS |
|
Object Detection (F16)
|
100% |
1841
137.5 IPS |
|
Object Detection (I8)
|
60% |
1599
119.4 IPS |
|
Face Detection (F32)
|
100% |
5080
60.4 IPS |
|
Face Detection (F16)
|
100% |
4640
55.2 IPS |
|
Face Detection (I8)
|
87% |
4836
57.5 IPS |
|
Depth Estimation (F32)
|
100% |
6129
47.5 IPS |
|
Depth Estimation (F16)
|
100% |
6350
49.2 IPS |
|
Depth Estimation (I8)
|
74% |
10832
84.0 IPS |
|
Style Transfer (F32)
|
100% |
12580
16.5 IPS |
|
Style Transfer (F16)
|
100% |
13295
17.5 IPS |
|
Style Transfer (I8)
|
85% |
16595
21.8 IPS |
|
Image Super-Resolution (F32)
|
100% |
2412
86.1 IPS |
|
Image Super-Resolution (F16)
|
100% |
2980
106.4 IPS |
|
Image Super-Resolution (I8)
|
97% |
3263
116.5 IPS |
|
Text Classification (F32)
|
100% |
1429
2.05 KIPS |
|
Text Classification (F16)
|
100% |
1449
2.08 KIPS |
|
Text Classification (I8)
|
94% |
305
438.5 IPS |
|
Machine Translation (F32)
|
100% |
2224
40.9 IPS |
|
Machine Translation (F16)
|
100% |
2221
40.9 IPS |
|
Machine Translation (I8)
|
67% |
2395
44.1 IPS |