LENOVO 20WK006ECD
Geekbench ML Score
1460
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2024 06:05 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 20WK006ECD |
| Motherboard | LENOVO 20WK006ECD |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 1.25 MB x 4 |
| L3 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
769
143.9 IPS |
|
|
Image Classification (F16)
|
100% |
736
137.7 IPS |
|
|
Image Classification (I8)
|
99% |
1774
331.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
546
9.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
566
9.45 IPS |
|
|
Image Segmentation (I8)
|
98% |
1080
18.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
2018
2.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
1877
2.27 IPS |
|
|
Pose Estimation (I8)
|
100% |
8376
10.1 IPS |
|
|
Object Detection (F32)
|
100% |
762
56.9 IPS |
|
|
Object Detection (F16)
|
100% |
759
56.6 IPS |
|
|
Object Detection (I8)
|
62% |
897
67.0 IPS |
|
|
Face Detection (F32)
|
100% |
1369
16.3 IPS |
|
|
Face Detection (F16)
|
100% |
1312
15.6 IPS |
|
|
Face Detection (I8)
|
89% |
2407
28.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2105
16.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2380
18.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
6905
53.5 IPS |
|
|
Style Transfer (F32)
|
100% |
4421
5.82 IPS |
|
|
Style Transfer (F16)
|
100% |
3954
5.20 IPS |
|
|
Style Transfer (I8)
|
98% |
10414
13.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1002
35.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
939
33.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2144
76.6 IPS |
|
|
Text Classification (F32)
|
100% |
867
1.25 KIPS |
|
|
Text Classification (F16)
|
100% |
785
1.13 KIPS |
|
|
Text Classification (I8)
|
98% |
295
424.1 IPS |
|
|
Machine Translation (F32)
|
100% |
950
17.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1024
18.8 IPS |
|
|
Machine Translation (I8)
|
67% |
1442
26.5 IPS |
