LENOVO 21DH
Geekbench AI Score
1402
Single Precision Score
577
Half Precision Score
2714
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Dashlaune |
| Upload Date | December 27 2024 12:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1235U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise N (64-bit) |
| Model | LENOVO 21DH |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1235U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1284
238.7 IPS |
|
|
Image Classification (HP)
|
100% |
296
55.0 IPS |
|
|
Image Classification (Q)
|
99% |
2810
524.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
751
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
471
7.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
1831
29.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2818
3.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1140
1.33 IPS |
|
|
Pose Estimation (Q)
|
94% |
5973
7.00 IPS |
|
|
Object Detection (SP)
|
100% |
1238
98.2 IPS |
|
|
Object Detection (HP)
|
100% |
278
22.1 IPS |
|
|
Object Detection (Q)
|
86% |
2596
208.6 IPS |
|
|
Face Detection (SP)
|
100% |
1825
21.7 IPS |
|
|
Face Detection (HP)
|
100% |
626
7.44 IPS |
|
|
Face Detection (Q)
|
97% |
4112
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2637
20.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
739
5.69 IPS |
|
|
Depth Estimation (Q)
|
78% |
6643
53.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4730
6.08 IPS |
|
|
Style Transfer (HP)
|
100% |
3094
3.98 IPS |
|
|
Style Transfer (Q)
|
98% |
6951
8.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1068
39.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
702
25.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1465
54.2 IPS |
|
|
Text Classification (SP)
|
100% |
580
773.7 IPS |
|
|
Text Classification (HP)
|
100% |
331
441.5 IPS |
|
|
Text Classification (Q)
|
97% |
909
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
621
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
282
4.87 IPS |
|
|
Machine Translation (Q)
|
65% |
1076
21.6 IPS |
