LENOVO 81CN
Geekbench AI Score
898
Single Precision Score
1068
Half Precision Score
705
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | gbdora |
| Upload Date | April 30 2025 11:02 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 620 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | LENOVO 81CN |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8250U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
416
77.3 IPS |
|
|
Image Classification (HP)
|
100% |
491
91.3 IPS |
|
|
Image Classification (Q)
|
100% |
395
73.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
540
8.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
659
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
447
7.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
2172
2.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
3367
3.93 IPS |
|
|
Pose Estimation (Q)
|
97% |
1828
2.14 IPS |
|
|
Object Detection (SP)
|
100% |
463
36.7 IPS |
|
|
Object Detection (HP)
|
98% |
483
38.4 IPS |
|
|
Object Detection (Q)
|
86% |
422
34.0 IPS |
|
|
Face Detection (SP)
|
100% |
779
9.26 IPS |
|
|
Face Detection (HP)
|
100% |
1002
11.9 IPS |
|
|
Face Detection (Q)
|
97% |
662
7.89 IPS |
|
|
Depth Estimation (SP)
|
100% |
1661
12.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
2064
16.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
1387
11.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5486
7.05 IPS |
|
|
Style Transfer (HP)
|
100% |
8544
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
4387
5.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1122
41.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1602
59.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
828
30.7 IPS |
|
|
Text Classification (SP)
|
100% |
426
569.1 IPS |
|
|
Text Classification (HP)
|
100% |
280
373.1 IPS |
|
|
Text Classification (Q)
|
97% |
261
350.3 IPS |
|
|
Machine Translation (SP)
|
100% |
449
7.73 IPS |
|
|
Machine Translation (HP)
|
100% |
467
8.04 IPS |
|
|
Machine Translation (Q)
|
70% |
258
4.83 IPS |
