LENOVO 81LK
Geekbench AI Score
1144
Single Precision Score
634
Half Precision Score
1336
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | skitou |
| Upload Date | November 14 2024 12:40 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-9300HF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | LENOVO 81LK |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9300HF |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
653
121.5 IPS |
|
|
Image Classification (HP)
|
100% |
253
47.0 IPS |
|
|
Image Classification (Q)
|
96% |
1154
215.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
562
9.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
375
6.08 IPS |
|
|
Image Segmentation (Q)
|
97% |
919
14.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1838
2.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
1506
1.76 IPS |
|
|
Pose Estimation (Q)
|
87% |
3825
4.52 IPS |
|
|
Object Detection (SP)
|
100% |
697
55.3 IPS |
|
|
Object Detection (HP)
|
100% |
302
23.9 IPS |
|
|
Object Detection (Q)
|
86% |
772
62.1 IPS |
|
|
Face Detection (SP)
|
100% |
828
9.83 IPS |
|
|
Face Detection (HP)
|
100% |
587
6.98 IPS |
|
|
Face Detection (Q)
|
96% |
1537
18.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2299
17.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
925
7.13 IPS |
|
|
Depth Estimation (Q)
|
77% |
2130
17.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5114
6.57 IPS |
|
|
Style Transfer (HP)
|
100% |
3794
4.88 IPS |
|
|
Style Transfer (Q)
|
87% |
5483
7.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
959
35.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
836
30.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1367
50.6 IPS |
|
|
Text Classification (SP)
|
100% |
1000
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
418
558.2 IPS |
|
|
Text Classification (Q)
|
97% |
295
395.7 IPS |
|
|
Machine Translation (SP)
|
100% |
881
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
341
5.87 IPS |
|
|
Machine Translation (Q)
|
60% |
801
17.9 IPS |
