LENOVO 81CN
Geekbench AI Score
1376
Single Precision Score
2146
Half Precision Score
1994
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | gbdora |
| Upload Date | November 05 2025 10:29 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 620 (iGPU) |
| 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% |
985
183.2 IPS |
|
|
Image Classification (HP)
|
100% |
1518
282.4 IPS |
|
|
Image Classification (Q)
|
100% |
1394
259.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
962
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1919
31.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1794
29.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2234
2.61 IPS |
|
|
Pose Estimation (HP)
|
99% |
2208
2.58 IPS |
|
|
Pose Estimation (Q)
|
97% |
3149
3.69 IPS |
|
|
Object Detection (SP)
|
100% |
846
67.1 IPS |
|
|
Object Detection (HP)
|
99% |
1478
117.6 IPS |
|
|
Object Detection (Q)
|
88% |
1399
112.2 IPS |
|
|
Face Detection (SP)
|
100% |
1958
23.3 IPS |
|
|
Face Detection (HP)
|
100% |
3403
40.4 IPS |
|
|
Face Detection (Q)
|
97% |
3344
39.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2705
20.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
4754
36.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
4125
32.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6724
8.64 IPS |
|
|
Style Transfer (HP)
|
100% |
8945
11.5 IPS |
|
|
Style Transfer (Q)
|
98% |
8046
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1171
43.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2039
75.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1891
70.0 IPS |
|
|
Text Classification (SP)
|
71% |
574
830.5 IPS |
|
|
Text Classification (HP)
|
71% |
676
978.2 IPS |
|
|
Text Classification (Q)
|
92% |
395
530.1 IPS |
|
|
Machine Translation (SP)
|
100% |
568
9.78 IPS |
|
|
Machine Translation (HP)
|
99% |
1094
18.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1090
18.8 IPS |
