LENOVO 81CN
Geekbench AI Score
892
Single Precision Score
1064
Half Precision Score
718
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | gbdora |
| Upload Date | February 21 2025 01:41 PM |
| 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% |
417
77.5 IPS |
|
|
Image Classification (HP)
|
100% |
491
91.3 IPS |
|
|
Image Classification (Q)
|
100% |
394
73.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
536
8.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
654
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
448
7.29 IPS |
|
|
Pose Estimation (SP)
|
100% |
2226
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
3367
3.93 IPS |
|
|
Pose Estimation (Q)
|
97% |
1882
2.20 IPS |
|
|
Object Detection (SP)
|
100% |
468
37.2 IPS |
|
|
Object Detection (HP)
|
98% |
454
36.1 IPS |
|
|
Object Detection (Q)
|
86% |
425
34.2 IPS |
|
|
Face Detection (SP)
|
100% |
794
9.44 IPS |
|
|
Face Detection (HP)
|
100% |
1038
12.3 IPS |
|
|
Face Detection (Q)
|
97% |
686
8.19 IPS |
|
|
Depth Estimation (SP)
|
100% |
1671
12.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
2072
16.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
1410
11.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5525
7.10 IPS |
|
|
Style Transfer (HP)
|
100% |
8545
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
4619
5.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1125
41.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1602
59.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
830
30.7 IPS |
|
|
Text Classification (SP)
|
100% |
424
566.6 IPS |
|
|
Text Classification (HP)
|
100% |
284
378.6 IPS |
|
|
Text Classification (Q)
|
97% |
273
365.7 IPS |
|
|
Machine Translation (SP)
|
100% |
395
6.80 IPS |
|
|
Machine Translation (HP)
|
100% |
455
7.83 IPS |
|
|
Machine Translation (Q)
|
70% |
258
4.84 IPS |
