LENOVO 81Y6
Geekbench ML Score
1421
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 05:21 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | LENOVO 81Y6 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 256 KB x 6 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
844
157.9 IPS |
|
|
Image Classification (F16)
|
100% |
754
141.1 IPS |
|
|
Image Classification (I8)
|
97% |
1291
241.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
633
10.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
631
10.5 IPS |
|
|
Image Segmentation (I8)
|
97% |
936
15.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
2448
2.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
2260
2.74 IPS |
|
|
Pose Estimation (I8)
|
100% |
5167
6.26 IPS |
|
|
Object Detection (F32)
|
100% |
748
55.8 IPS |
|
|
Object Detection (F16)
|
100% |
788
58.8 IPS |
|
|
Object Detection (I8)
|
60% |
763
57.0 IPS |
|
|
Face Detection (F32)
|
100% |
1328
15.8 IPS |
|
|
Face Detection (F16)
|
100% |
1323
15.7 IPS |
|
|
Face Detection (I8)
|
87% |
2082
24.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2666
20.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
2740
21.2 IPS |
|
|
Depth Estimation (I8)
|
74% |
3942
30.6 IPS |
|
|
Style Transfer (F32)
|
100% |
5448
7.17 IPS |
|
|
Style Transfer (F16)
|
100% |
6005
7.90 IPS |
|
|
Style Transfer (I8)
|
85% |
8270
10.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1050
37.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1261
45.0 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1709
61.0 IPS |
|
|
Text Classification (F32)
|
100% |
749
1.08 KIPS |
|
|
Text Classification (F16)
|
100% |
819
1.18 KIPS |
|
|
Text Classification (I8)
|
94% |
228
327.5 IPS |
|
|
Machine Translation (F32)
|
100% |
940
17.3 IPS |
|
|
Machine Translation (F16)
|
100% |
953
17.5 IPS |
|
|
Machine Translation (I8)
|
67% |
1200
22.1 IPS |
