LENOVO 82RJ
Geekbench AI Score
1250
Single Precision Score
551
Half Precision Score
2768
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | tnchmanoj |
| Upload Date | October 03 2025 07:51 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1235U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82RJ |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1235U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1201
223.3 IPS |
|
|
Image Classification (HP)
|
100% |
259
48.1 IPS |
|
|
Image Classification (Q)
|
99% |
2587
482.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
604
9.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
405
6.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
3449
56.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1549
1.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
1047
1.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
5787
6.78 IPS |
|
|
Object Detection (SP)
|
100% |
916
72.6 IPS |
|
|
Object Detection (HP)
|
100% |
277
22.0 IPS |
|
|
Object Detection (Q)
|
86% |
2481
199.4 IPS |
|
|
Face Detection (SP)
|
100% |
1744
20.7 IPS |
|
|
Face Detection (HP)
|
100% |
595
7.08 IPS |
|
|
Face Detection (Q)
|
97% |
3745
44.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2726
21.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
736
5.67 IPS |
|
|
Depth Estimation (Q)
|
78% |
6110
48.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4511
5.80 IPS |
|
|
Style Transfer (HP)
|
100% |
2868
3.69 IPS |
|
|
Style Transfer (Q)
|
98% |
5892
7.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
877
32.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
644
23.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1529
56.6 IPS |
|
|
Text Classification (SP)
|
100% |
802
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
363
483.9 IPS |
|
|
Text Classification (Q)
|
97% |
997
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
601
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
294
5.06 IPS |
|
|
Machine Translation (Q)
|
65% |
1003
20.2 IPS |
