LENOVO 81LK
Geekbench AI Score
967
Single Precision Score
452
Half Precision Score
1260
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Faris-AL |
| Upload Date | April 12 2025 07:30 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 81LK |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
763
141.9 IPS |
|
|
Image Classification (HP)
|
100% |
178
33.2 IPS |
|
|
Image Classification (Q)
|
96% |
1349
252.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
456
7.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
267
4.33 IPS |
|
|
Image Segmentation (Q)
|
97% |
603
9.81 IPS |
|
|
Pose Estimation (SP)
|
100% |
1590
1.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
1342
1.57 IPS |
|
|
Pose Estimation (Q)
|
86% |
3123
3.69 IPS |
|
|
Object Detection (SP)
|
100% |
717
56.9 IPS |
|
|
Object Detection (HP)
|
100% |
219
17.4 IPS |
|
|
Object Detection (Q)
|
58% |
880
96.1 IPS |
|
|
Face Detection (SP)
|
100% |
1218
14.5 IPS |
|
|
Face Detection (HP)
|
100% |
418
4.97 IPS |
|
|
Face Detection (Q)
|
96% |
2091
24.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1816
14.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
647
4.98 IPS |
|
|
Depth Estimation (Q)
|
78% |
3167
25.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3127
4.02 IPS |
|
|
Style Transfer (HP)
|
100% |
2515
3.23 IPS |
|
|
Style Transfer (Q)
|
87% |
4627
6.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
695
25.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
568
21.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
903
33.4 IPS |
|
|
Text Classification (SP)
|
100% |
554
739.5 IPS |
|
|
Text Classification (HP)
|
100% |
280
373.6 IPS |
|
|
Text Classification (Q)
|
97% |
193
258.4 IPS |
|
|
Machine Translation (SP)
|
100% |
677
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
237
4.07 IPS |
|
|
Machine Translation (Q)
|
68% |
847
16.4 IPS |
