LENOVO 12LN0024GE
Geekbench AI Score
1878
Single Precision Score
1977
Half Precision Score
1231
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | alfred_heinze |
| Upload Date | April 15 2025 10:11 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 12LN0024GE |
| Motherboard | LENOVO 333D |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13420H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
789
146.8 IPS |
|
|
Image Classification (HP)
|
100% |
820
152.4 IPS |
|
|
Image Classification (Q)
|
100% |
672
125.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1108
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1316
21.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
844
13.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5755
6.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
7198
8.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
3804
4.46 IPS |
|
|
Object Detection (SP)
|
100% |
925
73.3 IPS |
|
|
Object Detection (HP)
|
98% |
812
64.6 IPS |
|
|
Object Detection (Q)
|
86% |
782
62.9 IPS |
|
|
Face Detection (SP)
|
100% |
1525
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
2044
24.3 IPS |
|
|
Face Detection (Q)
|
97% |
1156
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3535
27.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
4018
31.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
2600
20.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13291
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18090
23.3 IPS |
|
|
Style Transfer (Q)
|
98% |
8933
11.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2150
79.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2718
100.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1044
38.6 IPS |
|
|
Text Classification (SP)
|
100% |
835
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
398
530.7 IPS |
|
|
Text Classification (Q)
|
97% |
396
530.0 IPS |
|
|
Machine Translation (SP)
|
100% |
915
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
900
15.5 IPS |
|
|
Machine Translation (Q)
|
70% |
428
8.03 IPS |
