LENOVO 21BVCTO1WW
Geekbench AI Score
825
Single Precision Score
826
Half Precision Score
711
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | avogt-avogt |
| Upload Date | December 19 2025 11:41 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-1240P |
| System Information | |
|---|---|
| Operating System | Fedora Linux 43 (Workstation Edition) |
| Model | LENOVO 21BVCTO1WW |
| Motherboard | LENOVO 21BVCTO1WW |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1240P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
690
128.4 IPS |
|
|
Image Classification (HP)
|
100% |
729
135.6 IPS |
|
|
Image Classification (Q)
|
99% |
516
96.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
947
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
990
16.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
656
10.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1125
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1081
1.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
1317
1.54 IPS |
|
|
Object Detection (SP)
|
100% |
1099
87.2 IPS |
|
|
Object Detection (HP)
|
100% |
626
49.7 IPS |
|
|
Object Detection (Q)
|
85% |
516
41.5 IPS |
|
|
Face Detection (SP)
|
100% |
874
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
839
9.97 IPS |
|
|
Face Detection (Q)
|
97% |
1079
12.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
788
6.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
768
5.92 IPS |
|
|
Depth Estimation (Q)
|
63% |
981
9.20 IPS |
|
|
Style Transfer (SP)
|
100% |
1074
1.38 IPS |
|
|
Style Transfer (HP)
|
100% |
1080
1.39 IPS |
|
|
Style Transfer (Q)
|
98% |
2557
3.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
498
18.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
831
30.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
689
25.5 IPS |
|
|
Text Classification (SP)
|
100% |
829
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
840
1.12 KIPS |
|
|
Text Classification (Q)
|
92% |
268
360.6 IPS |
|
|
Machine Translation (SP)
|
100% |
594
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
628
10.8 IPS |
|
|
Machine Translation (Q)
|
58% |
288
6.76 IPS |
