LENOVO 81CN
Geekbench ML Score
1192
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | gbdora |
| Upload Date | August 26 2024 05:29 PM |
| Views | 8 |
System Information
| 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 |
Inference Performance
| 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 |
