LENOVO 21BVCTO1WW
Geekbench AI Score
887
Single Precision Score
422
Half Precision Score
1929
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | avogt-avogt |
| Upload Date | January 11 2026 07:04 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1240P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21BVCTO1WW |
| Motherboard | LENOVO 21BVCTO1WW |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1240P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
638
118.7 IPS |
|
|
Image Classification (HP)
|
100% |
180
33.5 IPS |
|
|
Image Classification (Q)
|
99% |
1679
313.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
425
6.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
295
4.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
2355
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1235
1.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
892
1.04 IPS |
|
|
Pose Estimation (Q)
|
94% |
4343
5.09 IPS |
|
|
Object Detection (SP)
|
100% |
595
47.2 IPS |
|
|
Object Detection (HP)
|
100% |
213
16.9 IPS |
|
|
Object Detection (Q)
|
86% |
1373
110.3 IPS |
|
|
Face Detection (SP)
|
100% |
1570
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
452
5.37 IPS |
|
|
Face Detection (Q)
|
97% |
2139
25.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1572
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
545
4.20 IPS |
|
|
Depth Estimation (Q)
|
78% |
3785
30.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3265
4.20 IPS |
|
|
Style Transfer (HP)
|
100% |
2300
2.96 IPS |
|
|
Style Transfer (Q)
|
98% |
6274
8.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
613
22.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
455
16.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1437
53.2 IPS |
|
|
Text Classification (SP)
|
100% |
486
648.7 IPS |
|
|
Text Classification (HP)
|
100% |
262
349.4 IPS |
|
|
Text Classification (Q)
|
97% |
530
710.2 IPS |
|
|
Machine Translation (SP)
|
100% |
637
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
267
4.60 IPS |
|
|
Machine Translation (Q)
|
65% |
785
15.8 IPS |
