LENOVO 81LK
Geekbench AI Score
3548
Single Precision Score
3504
Half Precision Score
2535
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | skitou |
| Upload Date | November 14 2024 12:33 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1050 |
| 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% |
1230
228.8 IPS |
|
|
Image Classification (HP)
|
100% |
1592
296.0 IPS |
|
|
Image Classification (Q)
|
100% |
1047
194.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1742
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2016
32.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1481
24.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18004
21.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10354
12.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
14925
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1550
122.9 IPS |
|
|
Object Detection (HP)
|
100% |
1904
151.0 IPS |
|
|
Object Detection (Q)
|
89% |
1211
96.9 IPS |
|
|
Face Detection (SP)
|
100% |
2669
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
3804
45.2 IPS |
|
|
Face Detection (Q)
|
97% |
2154
25.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7190
55.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8063
62.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
5517
44.4 IPS |
|
|
Style Transfer (SP)
|
100% |
31394
40.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19305
24.8 IPS |
|
|
Style Transfer (Q)
|
98% |
25452
32.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5914
218.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4836
178.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3844
142.4 IPS |
|
|
Text Classification (SP)
|
100% |
917
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
1045
1.39 KIPS |
|
|
Text Classification (Q)
|
97% |
539
722.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1620
27.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1477
25.5 IPS |
|
|
Machine Translation (Q)
|
60% |
626
14.0 IPS |
