LENOVO 81Y3
Geekbench AI Score
973
Single Precision Score
447
Half Precision Score
1512
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 12:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10210U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 81Y3 |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10210U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 20.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
900
167.3 IPS |
|
|
Image Classification (HP)
|
100% |
186
34.6 IPS |
|
|
Image Classification (Q)
|
96% |
1242
232.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
397
6.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
289
4.69 IPS |
|
|
Image Segmentation (Q)
|
97% |
870
14.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1138
1.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
901
1.05 IPS |
|
|
Pose Estimation (Q)
|
86% |
2178
2.57 IPS |
|
|
Object Detection (SP)
|
100% |
634
50.3 IPS |
|
|
Object Detection (HP)
|
100% |
213
16.9 IPS |
|
|
Object Detection (Q)
|
58% |
865
94.5 IPS |
|
|
Face Detection (SP)
|
100% |
1483
17.6 IPS |
|
|
Face Detection (HP)
|
100% |
486
5.78 IPS |
|
|
Face Detection (Q)
|
96% |
2509
29.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1759
13.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
588
4.53 IPS |
|
|
Depth Estimation (Q)
|
78% |
3366
26.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3097
3.98 IPS |
|
|
Style Transfer (HP)
|
100% |
2282
2.93 IPS |
|
|
Style Transfer (Q)
|
87% |
4548
5.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
620
22.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
475
17.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1087
40.3 IPS |
|
|
Text Classification (SP)
|
100% |
748
997.8 IPS |
|
|
Text Classification (HP)
|
100% |
351
468.9 IPS |
|
|
Text Classification (Q)
|
97% |
684
916.0 IPS |
|
|
Machine Translation (SP)
|
100% |
791
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
288
4.95 IPS |
|
|
Machine Translation (Q)
|
68% |
1079
20.9 IPS |
