LENOVO 83E6
Geekbench ML Score
1873
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 03 2024 12:40 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83E6 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 3 100U |
| Topology | 1 Processor, 6 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 1.25 MB x 1 |
| L3 Cache | 10.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1096
205.2 IPS |
|
|
Image Classification (F16)
|
100% |
1110
207.7 IPS |
|
|
Image Classification (I8)
|
99% |
1916
358.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
759
12.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
812
13.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1503
25.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
2520
3.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
2421
2.93 IPS |
|
|
Pose Estimation (I8)
|
100% |
8828
10.7 IPS |
|
|
Object Detection (F32)
|
100% |
1013
75.7 IPS |
|
|
Object Detection (F16)
|
100% |
984
73.4 IPS |
|
|
Object Detection (I8)
|
62% |
1076
80.3 IPS |
|
|
Face Detection (F32)
|
100% |
1586
18.9 IPS |
|
|
Face Detection (F16)
|
100% |
1601
19.0 IPS |
|
|
Face Detection (I8)
|
89% |
2561
30.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2843
22.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
2922
22.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
7541
58.5 IPS |
|
|
Style Transfer (F32)
|
100% |
5920
7.79 IPS |
|
|
Style Transfer (F16)
|
100% |
5913
7.78 IPS |
|
|
Style Transfer (I8)
|
98% |
10588
13.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1362
48.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1335
47.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2861
102.2 IPS |
|
|
Text Classification (F32)
|
100% |
1049
1.51 KIPS |
|
|
Text Classification (F16)
|
100% |
1124
1.62 KIPS |
|
|
Text Classification (I8)
|
98% |
506
727.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1258
23.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1171
21.6 IPS |
|
|
Machine Translation (I8)
|
67% |
1746
32.1 IPS |
