LENOVO 81LK
Geekbench AI Score
809
Single Precision Score
883
Half Precision Score
631
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 15 2025 03:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| 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% |
366
68.1 IPS |
|
|
Image Classification (HP)
|
100% |
371
69.1 IPS |
|
|
Image Classification (Q)
|
100% |
333
61.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
519
8.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
556
9.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
414
6.73 IPS |
|
|
Pose Estimation (SP)
|
100% |
2079
2.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
3231
3.77 IPS |
|
|
Pose Estimation (Q)
|
97% |
1847
2.16 IPS |
|
|
Object Detection (SP)
|
100% |
428
33.9 IPS |
|
|
Object Detection (HP)
|
98% |
334
26.6 IPS |
|
|
Object Detection (Q)
|
86% |
375
30.1 IPS |
|
|
Face Detection (SP)
|
100% |
804
9.56 IPS |
|
|
Face Detection (HP)
|
100% |
927
11.0 IPS |
|
|
Face Detection (Q)
|
97% |
622
7.42 IPS |
|
|
Depth Estimation (SP)
|
100% |
1564
12.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
1904
14.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
1276
10.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5369
6.90 IPS |
|
|
Style Transfer (HP)
|
100% |
7975
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
4378
5.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1027
37.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1404
51.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
755
28.0 IPS |
|
|
Text Classification (SP)
|
100% |
304
405.8 IPS |
|
|
Text Classification (HP)
|
100% |
228
304.7 IPS |
|
|
Text Classification (Q)
|
97% |
197
263.7 IPS |
|
|
Machine Translation (SP)
|
100% |
339
5.83 IPS |
|
|
Machine Translation (HP)
|
100% |
290
5.00 IPS |
|
|
Machine Translation (Q)
|
70% |
204
3.82 IPS |
