LENOVO 83B1
Geekbench AI Score
1043
Single Precision Score
433
Half Precision Score
1925
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 08 2025 11:15 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1360P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83B1 |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1360P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
776
144.3 IPS |
|
|
Image Classification (HP)
|
100% |
164
30.6 IPS |
|
|
Image Classification (Q)
|
99% |
1365
254.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
473
7.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
266
4.31 IPS |
|
|
Image Segmentation (Q)
|
98% |
2103
34.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1615
1.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
1146
1.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
5047
5.92 IPS |
|
|
Object Detection (SP)
|
100% |
777
61.6 IPS |
|
|
Object Detection (HP)
|
100% |
209
16.5 IPS |
|
|
Object Detection (Q)
|
86% |
1482
119.1 IPS |
|
|
Face Detection (SP)
|
100% |
2219
26.4 IPS |
|
|
Face Detection (HP)
|
100% |
497
5.90 IPS |
|
|
Face Detection (Q)
|
97% |
2378
28.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2085
16.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
630
4.85 IPS |
|
|
Depth Estimation (Q)
|
78% |
3863
30.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3996
5.14 IPS |
|
|
Style Transfer (HP)
|
100% |
2710
3.48 IPS |
|
|
Style Transfer (Q)
|
98% |
7302
9.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
723
26.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
521
19.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1363
50.5 IPS |
|
|
Text Classification (SP)
|
100% |
439
585.9 IPS |
|
|
Text Classification (HP)
|
100% |
209
279.6 IPS |
|
|
Text Classification (Q)
|
97% |
424
568.7 IPS |
|
|
Machine Translation (SP)
|
100% |
569
9.81 IPS |
|
|
Machine Translation (HP)
|
100% |
240
4.13 IPS |
|
|
Machine Translation (Q)
|
65% |
843
16.9 IPS |
