DELPC13 LENOVO 11SE0024GE
Geekbench AI Score
2399
Single Precision Score
1209
Half Precision Score
4973
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | hsvadmin |
| Upload Date | April 03 2025 07:46 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 11SE0024GE |
| Motherboard | LENOVO 3740 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1933
359.5 IPS |
|
|
Image Classification (HP)
|
100% |
478
88.9 IPS |
|
|
Image Classification (Q)
|
99% |
4726
881.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1237
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
771
12.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2548
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3235
3.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
2791
3.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
13531
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1626
129.0 IPS |
|
|
Object Detection (HP)
|
100% |
602
47.7 IPS |
|
|
Object Detection (Q)
|
86% |
4243
341.0 IPS |
|
|
Face Detection (SP)
|
100% |
3539
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
1377
16.4 IPS |
|
|
Face Detection (Q)
|
97% |
6345
75.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4023
31.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1704
13.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
10265
81.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8522
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
6791
8.73 IPS |
|
|
Style Transfer (Q)
|
98% |
14377
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1697
62.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1352
49.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3354
124.2 IPS |
|
|
Text Classification (SP)
|
100% |
1428
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
756
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1577
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1710
29.5 IPS |
|
|
Machine Translation (HP)
|
100% |
666
11.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2702
54.3 IPS |
