LENOVO 81DC
Geekbench AI Score
894
Single Precision Score
489
Half Precision Score
1238
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 14 2025 09:37 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-7200U |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | LENOVO 81DC |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7200U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 2.71 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
597
111.0 IPS |
|
|
Image Classification (HP)
|
100% |
221
41.1 IPS |
|
|
Image Classification (Q)
|
96% |
829
154.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
379
6.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
304
4.92 IPS |
|
|
Image Segmentation (Q)
|
97% |
943
15.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1180
1.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
897
1.05 IPS |
|
|
Pose Estimation (Q)
|
86% |
1954
2.31 IPS |
|
|
Object Detection (SP)
|
100% |
591
46.9 IPS |
|
|
Object Detection (HP)
|
100% |
255
20.2 IPS |
|
|
Object Detection (Q)
|
58% |
643
70.2 IPS |
|
|
Face Detection (SP)
|
100% |
1385
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
539
6.41 IPS |
|
|
Face Detection (Q)
|
96% |
1862
22.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1494
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
677
5.22 IPS |
|
|
Depth Estimation (Q)
|
78% |
2038
16.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2914
3.75 IPS |
|
|
Style Transfer (HP)
|
100% |
2026
2.60 IPS |
|
|
Style Transfer (Q)
|
87% |
4010
5.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
593
21.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
521
19.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1066
39.5 IPS |
|
|
Text Classification (SP)
|
100% |
636
848.6 IPS |
|
|
Text Classification (HP)
|
100% |
371
495.2 IPS |
|
|
Text Classification (Q)
|
97% |
583
780.4 IPS |
|
|
Machine Translation (SP)
|
100% |
914
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
361
6.23 IPS |
|
|
Machine Translation (Q)
|
68% |
912
17.6 IPS |
