LENOVO 80UD
Geekbench ML Score
750
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 26 2024 08:07 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 10 Lite (64-bit) |
| Model | LENOVO 80UD |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6200U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 78 Stepping 3 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 2 Cores |
| L1 Instruction Cache | 32.0 KB x 2 |
| L1 Data Cache | 32.0 KB x 2 |
| L2 Cache | 256 KB x 2 |
| L3 Cache | 3.00 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% |
407
76.1 IPS |
|
|
Image Classification (F16)
|
100% |
365
68.4 IPS |
|
|
Image Classification (I8)
|
97% |
604
113.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
338
5.64 IPS |
|
|
Image Segmentation (F16)
|
100% |
332
5.55 IPS |
|
|
Image Segmentation (I8)
|
97% |
430
7.18 IPS |
|
|
Pose Estimation (F32)
|
100% |
959
1.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
1105
1.34 IPS |
|
|
Pose Estimation (I8)
|
100% |
1591
1.93 IPS |
|
|
Object Detection (F32)
|
100% |
430
32.1 IPS |
|
|
Object Detection (F16)
|
100% |
461
34.4 IPS |
|
|
Object Detection (I8)
|
60% |
476
35.5 IPS |
|
|
Face Detection (F32)
|
100% |
844
10.0 IPS |
|
|
Face Detection (F16)
|
100% |
864
10.3 IPS |
|
|
Face Detection (I8)
|
87% |
1144
13.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
1206
9.35 IPS |
|
|
Depth Estimation (F16)
|
100% |
1321
10.2 IPS |
|
|
Depth Estimation (I8)
|
74% |
1948
15.1 IPS |
|
|
Style Transfer (F32)
|
100% |
2765
3.64 IPS |
|
|
Style Transfer (F16)
|
100% |
2433
3.20 IPS |
|
|
Style Transfer (I8)
|
85% |
3411
4.49 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
631
22.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
533
19.0 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
758
27.1 IPS |
|
|
Text Classification (F32)
|
100% |
459
660.4 IPS |
|
|
Text Classification (F16)
|
100% |
468
673.2 IPS |
|
|
Text Classification (I8)
|
94% |
223
320.8 IPS |
|
|
Machine Translation (F32)
|
100% |
706
13.0 IPS |
|
|
Machine Translation (F16)
|
100% |
709
13.0 IPS |
|
|
Machine Translation (I8)
|
67% |
738
13.6 IPS |
