User | Redwoodz |
Upload Date | February 06 2024 11:55 AM |
Views | 5 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | B450 Steel Legend |
Motherboard | ASRock B450 Steel Legend |
Power Plan | High performance |
CPU Information | |
---|---|
Name | AMD Ryzen 7 5700G |
Topology | 1 Processor, 8 Cores, 16 Threads |
Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
Base Frequency | 4.80 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 | 16.0 MB x 1 |
Memory Information | |
---|---|
Size | 16.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
2355
440.7 IPS |
|
Image Classification (F16)
|
100% |
2329
435.8 IPS |
|
Image Classification (I8)
|
97% |
3912
732.1 IPS |
|
Image Segmentation (F32)
|
100% |
1848
30.9 IPS |
|
Image Segmentation (F16)
|
100% |
1853
31.0 IPS |
|
Image Segmentation (I8)
|
97% |
2205
36.8 IPS |
|
Pose Estimation (F32)
|
100% |
6553
7.94 IPS |
|
Pose Estimation (F16)
|
100% |
6540
7.92 IPS |
|
Pose Estimation (I8)
|
100% |
13497
16.3 IPS |
|
Object Detection (F32)
|
100% |
2105
157.2 IPS |
|
Object Detection (F16)
|
100% |
2116
158.0 IPS |
|
Object Detection (I8)
|
60% |
1950
145.6 IPS |
|
Face Detection (F32)
|
100% |
2203
26.2 IPS |
|
Face Detection (F16)
|
100% |
2181
25.9 IPS |
|
Face Detection (I8)
|
87% |
4046
48.1 IPS |
|
Depth Estimation (F32)
|
100% |
7520
58.3 IPS |
|
Depth Estimation (F16)
|
100% |
7496
58.1 IPS |
|
Depth Estimation (I8)
|
74% |
11764
91.2 IPS |
|
Style Transfer (F32)
|
100% |
16040
21.1 IPS |
|
Style Transfer (F16)
|
100% |
16031
21.1 IPS |
|
Style Transfer (I8)
|
85% |
15640
20.6 IPS |
|
Image Super-Resolution (F32)
|
100% |
3160
112.9 IPS |
|
Image Super-Resolution (F16)
|
100% |
3200
114.3 IPS |
|
Image Super-Resolution (I8)
|
97% |
3341
119.3 IPS |
|
Text Classification (F32)
|
100% |
2094
3.01 KIPS |
|
Text Classification (F16)
|
100% |
2090
3.00 KIPS |
|
Text Classification (I8)
|
94% |
408
586.1 IPS |
|
Machine Translation (F32)
|
100% |
2165
39.8 IPS |
|
Machine Translation (F16)
|
100% |
2334
43.0 IPS |
|
Machine Translation (I8)
|
67% |
2383
43.9 IPS |