LENOVO 20R30004UK
Geekbench ML Score
1397
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 06 2024 08:04 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20R30004UK |
| Motherboard | LENOVO 20R30004UK |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10210U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.11 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
806
150.9 IPS |
|
|
Image Classification (F16)
|
100% |
821
153.6 IPS |
|
|
Image Classification (I8)
|
97% |
1284
240.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
557
9.31 IPS |
|
|
Image Segmentation (F16)
|
100% |
571
9.54 IPS |
|
|
Image Segmentation (I8)
|
97% |
989
16.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
2608
3.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
2567
3.11 IPS |
|
|
Pose Estimation (I8)
|
100% |
4682
5.67 IPS |
|
|
Object Detection (F32)
|
100% |
765
57.1 IPS |
|
|
Object Detection (F16)
|
100% |
770
57.5 IPS |
|
|
Object Detection (I8)
|
60% |
842
62.9 IPS |
|
|
Face Detection (F32)
|
100% |
1106
13.1 IPS |
|
|
Face Detection (F16)
|
100% |
1028
12.2 IPS |
|
|
Face Detection (I8)
|
87% |
1945
23.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
2515
19.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2444
19.0 IPS |
|
|
Depth Estimation (I8)
|
74% |
4454
34.5 IPS |
|
|
Style Transfer (F32)
|
100% |
5756
7.57 IPS |
|
|
Style Transfer (F16)
|
100% |
5892
7.75 IPS |
|
|
Style Transfer (I8)
|
85% |
6507
8.56 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1234
44.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1186
42.4 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1701
60.7 IPS |
|
|
Text Classification (F32)
|
100% |
825
1.19 KIPS |
|
|
Text Classification (F16)
|
100% |
904
1.30 KIPS |
|
|
Text Classification (I8)
|
94% |
198
284.2 IPS |
|
|
Machine Translation (F32)
|
100% |
924
17.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1075
19.8 IPS |
|
|
Machine Translation (I8)
|
67% |
1123
20.7 IPS |
