LENOVO 12LN0024GE
Geekbench AI Score
2012
Single Precision Score
982
Half Precision Score
3912
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | alfred_heinze |
| Upload Date | April 15 2025 09:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13420H |
| 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% |
1611
299.6 IPS |
|
|
Image Classification (HP)
|
100% |
363
67.5 IPS |
|
|
Image Classification (Q)
|
99% |
3440
641.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
896
14.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
616
9.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
2283
37.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3218
3.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
2450
2.86 IPS |
|
|
Pose Estimation (Q)
|
94% |
11390
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1483
117.6 IPS |
|
|
Object Detection (HP)
|
100% |
475
37.7 IPS |
|
|
Object Detection (Q)
|
86% |
3608
289.9 IPS |
|
|
Face Detection (SP)
|
100% |
2523
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
961
11.4 IPS |
|
|
Face Detection (Q)
|
97% |
5461
65.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4264
32.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1439
11.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
8243
65.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7465
9.60 IPS |
|
|
Style Transfer (HP)
|
100% |
6149
7.90 IPS |
|
|
Style Transfer (Q)
|
98% |
9614
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1459
53.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1256
46.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2545
94.2 IPS |
|
|
Text Classification (SP)
|
100% |
1190
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
579
773.1 IPS |
|
|
Text Classification (Q)
|
97% |
1366
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1134
19.5 IPS |
|
|
Machine Translation (HP)
|
100% |
520
8.97 IPS |
|
|
Machine Translation (Q)
|
65% |
1732
34.8 IPS |
