LENOVO 83BF
Geekbench AI Score
1458
Single Precision Score
1595
Half Precision Score
1039
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | dmitrychou |
| Upload Date | October 05 2025 06:36 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-12450H |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.2 |
| 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% |
434
80.8 IPS |
|
|
Image Classification (HP)
|
100% |
1163
216.3 IPS |
|
|
Image Classification (Q)
|
99% |
735
137.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1450
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1465
23.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
802
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1989
2.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1991
2.32 IPS |
|
|
Pose Estimation (Q)
|
96% |
1724
2.02 IPS |
|
|
Object Detection (SP)
|
100% |
1130
89.7 IPS |
|
|
Object Detection (HP)
|
100% |
1046
82.9 IPS |
|
|
Object Detection (Q)
|
85% |
750
60.3 IPS |
|
|
Face Detection (SP)
|
100% |
2082
24.7 IPS |
|
|
Face Detection (HP)
|
100% |
2095
24.9 IPS |
|
|
Face Detection (Q)
|
97% |
1745
20.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2050
15.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2054
15.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
1446
13.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3018
3.88 IPS |
|
|
Style Transfer (HP)
|
100% |
2979
3.83 IPS |
|
|
Style Transfer (Q)
|
98% |
3894
5.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1362
50.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1191
44.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1017
37.7 IPS |
|
|
Text Classification (SP)
|
100% |
1040
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
1155
1.54 KIPS |
|
|
Text Classification (Q)
|
92% |
391
525.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1685
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1706
29.4 IPS |
|
|
Machine Translation (Q)
|
58% |
497
11.7 IPS |
