LENOVO 81Y4
Geekbench AI Score
1412
Single Precision Score
717
Half Precision Score
2023
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | WitzAbout |
| Upload Date | August 05 2025 05:55 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10300H |
| 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% |
988
183.7 IPS |
|
|
Image Classification (HP)
|
100% |
292
54.3 IPS |
|
|
Image Classification (Q)
|
96% |
1579
294.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
602
9.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
411
6.67 IPS |
|
|
Image Segmentation (Q)
|
97% |
1803
29.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2006
2.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
1600
1.87 IPS |
|
|
Pose Estimation (Q)
|
86% |
3432
4.06 IPS |
|
|
Object Detection (SP)
|
100% |
1021
81.0 IPS |
|
|
Object Detection (HP)
|
100% |
349
27.7 IPS |
|
|
Object Detection (Q)
|
58% |
1119
122.3 IPS |
|
|
Face Detection (SP)
|
100% |
2322
27.6 IPS |
|
|
Face Detection (HP)
|
100% |
775
9.21 IPS |
|
|
Face Detection (Q)
|
96% |
2969
35.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2546
19.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1023
7.88 IPS |
|
|
Depth Estimation (Q)
|
78% |
3656
29.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4876
6.27 IPS |
|
|
Style Transfer (HP)
|
100% |
3693
4.75 IPS |
|
|
Style Transfer (Q)
|
87% |
6336
8.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
941
34.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
811
29.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1741
64.5 IPS |
|
|
Text Classification (SP)
|
100% |
868
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
497
663.8 IPS |
|
|
Text Classification (Q)
|
97% |
717
961.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1102
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
459
7.91 IPS |
|
|
Machine Translation (Q)
|
68% |
1228
23.7 IPS |
