LENOVO 21DH
Geekbench AI Score
1445
Single Precision Score
610
Half Precision Score
2738
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | alaa2497 |
| Upload Date | April 12 2025 07:48 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1235U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21DH |
| Motherboard | LENOVO LNVNB161216 |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1106
205.8 IPS |
|
|
Image Classification (HP)
|
100% |
259
48.1 IPS |
|
|
Image Classification (Q)
|
99% |
2626
489.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
667
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
421
6.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
1643
26.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2685
3.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
1370
1.60 IPS |
|
|
Pose Estimation (Q)
|
94% |
7253
8.50 IPS |
|
|
Object Detection (SP)
|
100% |
1146
90.9 IPS |
|
|
Object Detection (HP)
|
100% |
316
25.1 IPS |
|
|
Object Detection (Q)
|
86% |
2421
194.6 IPS |
|
|
Face Detection (SP)
|
100% |
1514
18.0 IPS |
|
|
Face Detection (HP)
|
100% |
581
6.90 IPS |
|
|
Face Detection (Q)
|
97% |
3768
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3122
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
864
6.66 IPS |
|
|
Depth Estimation (Q)
|
78% |
5818
46.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5114
6.57 IPS |
|
|
Style Transfer (HP)
|
100% |
3553
4.57 IPS |
|
|
Style Transfer (Q)
|
98% |
6382
8.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1013
37.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
712
26.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1819
67.3 IPS |
|
|
Text Classification (SP)
|
100% |
811
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
372
496.7 IPS |
|
|
Text Classification (Q)
|
97% |
1022
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
883
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
325
5.60 IPS |
|
|
Machine Translation (Q)
|
65% |
1203
24.2 IPS |
