User | gbdora |
Upload Date | August 26 2024 05:29 PM |
Views | 8 |
System Information | |
---|---|
Operating System | Microsoft Windows 10 Home (64-bit) |
Model | LENOVO 81CN |
Motherboard | LENOVO LNVNB161216 |
Power Plan | Ausbalanciert |
CPU Information | |
---|---|
Name | Intel Core i5-8250U |
Topology | 1 Processor, 4 Cores, 8 Threads |
Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
Base Frequency | 1.80 GHz |
Cluster 1 | 4 Cores |
L1 Instruction Cache | 32.0 KB x 4 |
L1 Data Cache | 32.0 KB x 4 |
L2 Cache | 256 KB x 4 |
L3 Cache | 6.00 MB x 1 |
Memory Information | |
---|---|
Size | 12.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
633
118.4 IPS |
|
Image Classification (F16)
|
100% |
692
129.6 IPS |
|
Image Classification (I8)
|
97% |
1043
195.1 IPS |
|
Image Segmentation (F32)
|
100% |
481
8.04 IPS |
|
Image Segmentation (F16)
|
100% |
497
8.30 IPS |
|
Image Segmentation (I8)
|
97% |
820
13.7 IPS |
|
Pose Estimation (F32)
|
100% |
2022
2.45 IPS |
|
Pose Estimation (F16)
|
100% |
2081
2.52 IPS |
|
Pose Estimation (I8)
|
100% |
3306
4.00 IPS |
|
Object Detection (F32)
|
100% |
663
49.5 IPS |
|
Object Detection (F16)
|
100% |
692
51.6 IPS |
|
Object Detection (I8)
|
60% |
657
49.0 IPS |
|
Face Detection (F32)
|
100% |
931
11.1 IPS |
|
Face Detection (F16)
|
100% |
925
11.0 IPS |
|
Face Detection (I8)
|
87% |
1664
19.8 IPS |
|
Depth Estimation (F32)
|
100% |
2176
16.9 IPS |
|
Depth Estimation (F16)
|
100% |
1979
15.3 IPS |
|
Depth Estimation (I8)
|
74% |
4027
31.2 IPS |
|
Style Transfer (F32)
|
100% |
4408
5.80 IPS |
|
Style Transfer (F16)
|
100% |
4754
6.25 IPS |
|
Style Transfer (I8)
|
85% |
5821
7.66 IPS |
|
Image Super-Resolution (F32)
|
100% |
1073
38.3 IPS |
|
Image Super-Resolution (F16)
|
100% |
982
35.1 IPS |
|
Image Super-Resolution (I8)
|
97% |
1448
51.7 IPS |
|
Text Classification (F32)
|
100% |
759
1.09 KIPS |
|
Text Classification (F16)
|
100% |
720
1.03 KIPS |
|
Text Classification (I8)
|
94% |
257
369.5 IPS |
|
Machine Translation (F32)
|
100% |
915
16.8 IPS |
|
Machine Translation (F16)
|
100% |
838
15.4 IPS |
|
Machine Translation (I8)
|
67% |
1052
19.4 IPS |