LENOVO 11NBS0BH00
Geekbench AI Score
700
Single Precision Score
709
Half Precision Score
430
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | Mimizuku |
| Upload Date | February 14 2025 12:48 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-1145GRE |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | LENOVO 11NBS0BH00 |
| Motherboard | LENOVO 319D |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1145GRE |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
420
78.0 IPS |
|
|
Image Classification (HP)
|
100% |
433
80.6 IPS |
|
|
Image Classification (Q)
|
99% |
214
39.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
586
9.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
594
9.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
317
5.15 IPS |
|
|
Pose Estimation (SP)
|
100% |
814
0.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
824
0.96 IPS |
|
|
Pose Estimation (Q)
|
96% |
687
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
462
36.6 IPS |
|
|
Object Detection (HP)
|
100% |
469
37.2 IPS |
|
|
Object Detection (Q)
|
85% |
288
23.2 IPS |
|
|
Face Detection (SP)
|
100% |
978
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
985
11.7 IPS |
|
|
Face Detection (Q)
|
97% |
667
7.95 IPS |
|
|
Depth Estimation (SP)
|
100% |
908
7.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
911
7.02 IPS |
|
|
Depth Estimation (Q)
|
63% |
577
5.41 IPS |
|
|
Style Transfer (SP)
|
100% |
1400
1.80 IPS |
|
|
Style Transfer (HP)
|
100% |
1404
1.80 IPS |
|
|
Style Transfer (Q)
|
98% |
1594
2.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
477
17.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
481
17.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
382
14.2 IPS |
|
|
Text Classification (SP)
|
100% |
617
823.3 IPS |
|
|
Text Classification (HP)
|
100% |
625
833.7 IPS |
|
|
Text Classification (Q)
|
92% |
259
347.8 IPS |
|
|
Machine Translation (SP)
|
100% |
842
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
857
14.8 IPS |
|
|
Machine Translation (Q)
|
58% |
269
6.31 IPS |
