LENOVO 81Y4
Geekbench AI Score
1210
Single Precision Score
1832
Half Precision Score
1741
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | WitzAbout |
| Upload Date | August 05 2025 07:27 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 81Y4 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10300H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
774
143.9 IPS |
|
|
Image Classification (HP)
|
100% |
1228
228.3 IPS |
|
|
Image Classification (Q)
|
100% |
1103
205.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1075
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1653
26.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1513
24.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1701
1.98 IPS |
|
|
Pose Estimation (HP)
|
99% |
1819
2.13 IPS |
|
|
Pose Estimation (Q)
|
97% |
2441
2.86 IPS |
|
|
Object Detection (SP)
|
100% |
709
56.3 IPS |
|
|
Object Detection (HP)
|
99% |
1206
95.9 IPS |
|
|
Object Detection (Q)
|
88% |
1137
91.2 IPS |
|
|
Face Detection (SP)
|
100% |
2426
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
3905
46.4 IPS |
|
|
Face Detection (Q)
|
97% |
3368
40.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2139
16.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
3694
28.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
3386
26.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4820
6.20 IPS |
|
|
Style Transfer (HP)
|
100% |
6774
8.71 IPS |
|
|
Style Transfer (Q)
|
98% |
6065
7.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
878
32.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1568
57.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1551
57.4 IPS |
|
|
Text Classification (SP)
|
71% |
511
739.2 IPS |
|
|
Text Classification (HP)
|
71% |
575
832.3 IPS |
|
|
Text Classification (Q)
|
92% |
480
645.4 IPS |
|
|
Machine Translation (SP)
|
100% |
598
10.3 IPS |
|
|
Machine Translation (HP)
|
99% |
1090
18.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1077
18.6 IPS |
