LENOVO 81LK
Geekbench AI Score
1532
Single Precision Score
744
Half Precision Score
2120
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 15 2025 03:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-9300H |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | LENOVO 81LK |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9300H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1159
215.6 IPS |
|
|
Image Classification (HP)
|
100% |
291
54.1 IPS |
|
|
Image Classification (Q)
|
96% |
1775
331.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
615
9.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
417
6.76 IPS |
|
|
Image Segmentation (Q)
|
97% |
1321
21.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2487
2.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
1956
2.28 IPS |
|
|
Pose Estimation (Q)
|
86% |
4076
4.82 IPS |
|
|
Object Detection (SP)
|
100% |
1094
86.8 IPS |
|
|
Object Detection (HP)
|
100% |
360
28.5 IPS |
|
|
Object Detection (Q)
|
58% |
1304
142.4 IPS |
|
|
Face Detection (SP)
|
100% |
1808
21.5 IPS |
|
|
Face Detection (HP)
|
100% |
690
8.20 IPS |
|
|
Face Detection (Q)
|
96% |
3362
40.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2962
22.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1020
7.86 IPS |
|
|
Depth Estimation (Q)
|
78% |
3886
31.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5704
7.33 IPS |
|
|
Style Transfer (HP)
|
100% |
4547
5.85 IPS |
|
|
Style Transfer (Q)
|
87% |
6612
8.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1049
38.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
924
34.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1503
55.7 IPS |
|
|
Text Classification (SP)
|
100% |
1001
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
483
644.0 IPS |
|
|
Text Classification (Q)
|
97% |
873
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1149
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
431
7.42 IPS |
|
|
Machine Translation (Q)
|
68% |
1299
25.1 IPS |
