LENOVO 83E6
Geekbench ML Score
1890
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 03 2024 12:39 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% |
1054
197.3 IPS |
|
|
Image Classification (F16)
|
100% |
1070
200.1 IPS |
|
|
Image Classification (I8)
|
99% |
1910
357.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
792
13.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
815
13.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1601
26.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
2466
2.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
2518
3.05 IPS |
|
|
Pose Estimation (I8)
|
100% |
7670
9.29 IPS |
|
|
Object Detection (F32)
|
100% |
963
71.9 IPS |
|
|
Object Detection (F16)
|
100% |
1040
77.6 IPS |
|
|
Object Detection (I8)
|
62% |
1230
91.8 IPS |
|
|
Face Detection (F32)
|
100% |
1665
19.8 IPS |
|
|
Face Detection (F16)
|
100% |
1615
19.2 IPS |
|
|
Face Detection (I8)
|
89% |
2690
32.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
3104
24.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
3033
23.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
6992
54.2 IPS |
|
|
Style Transfer (F32)
|
100% |
6082
8.00 IPS |
|
|
Style Transfer (F16)
|
100% |
6084
8.00 IPS |
|
|
Style Transfer (I8)
|
98% |
10160
13.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1185
42.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1414
50.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2822
100.8 IPS |
|
|
Text Classification (F32)
|
100% |
1126
1.62 KIPS |
|
|
Text Classification (F16)
|
100% |
1121
1.61 KIPS |
|
|
Text Classification (I8)
|
98% |
491
705.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1375
25.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1221
22.5 IPS |
|
|
Machine Translation (I8)
|
67% |
1724
31.7 IPS |
