LENOVO 83BF
Geekbench AI Score
1667
Single Precision Score
1651
Half Precision Score
1095
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | dmitrychou |
| Upload Date | August 16 2024 01:53 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-12450H |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | LENOVO 83BF |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12450H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1180
219.5 IPS |
|
|
Image Classification (HP)
|
100% |
1185
220.4 IPS |
|
|
Image Classification (Q)
|
99% |
733
136.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1473
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1427
23.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
812
13.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2036
2.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
2005
2.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
1900
2.23 IPS |
|
|
Object Detection (SP)
|
100% |
1146
90.9 IPS |
|
|
Object Detection (HP)
|
100% |
992
78.7 IPS |
|
|
Object Detection (Q)
|
86% |
756
60.8 IPS |
|
|
Face Detection (SP)
|
100% |
2125
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
2125
25.2 IPS |
|
|
Face Detection (Q)
|
97% |
1709
20.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2102
16.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
2097
16.2 IPS |
|
|
Depth Estimation (Q)
|
74% |
1637
13.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3081
3.96 IPS |
|
|
Style Transfer (HP)
|
100% |
3050
3.92 IPS |
|
|
Style Transfer (Q)
|
98% |
3815
4.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1328
49.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1332
49.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
988
36.6 IPS |
|
|
Text Classification (SP)
|
100% |
1105
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
1261
1.68 KIPS |
|
|
Text Classification (Q)
|
92% |
530
712.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2031
35.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1967
33.9 IPS |
|
|
Machine Translation (Q)
|
58% |
519
12.2 IPS |
