LENOVO 82RK
Geekbench AI Score
1741
Single Precision Score
664
Half Precision Score
3631
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Rock_man77 |
| Upload Date | December 01 2025 04:31 AM |
| Views | 14 |
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 82RK |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1614
300.2 IPS |
|
|
Image Classification (HP)
|
100% |
378
70.3 IPS |
|
|
Image Classification (Q)
|
99% |
3297
615.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
805
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
597
9.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
4355
70.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2355
2.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
1192
1.39 IPS |
|
|
Pose Estimation (Q)
|
94% |
6134
7.19 IPS |
|
|
Object Detection (SP)
|
100% |
1487
118.0 IPS |
|
|
Object Detection (HP)
|
100% |
312
24.8 IPS |
|
|
Object Detection (Q)
|
86% |
3043
244.5 IPS |
|
|
Face Detection (SP)
|
100% |
3052
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
702
8.34 IPS |
|
|
Face Detection (Q)
|
97% |
5186
61.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3367
25.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
854
6.58 IPS |
|
|
Depth Estimation (Q)
|
78% |
7732
61.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4443
5.71 IPS |
|
|
Style Transfer (HP)
|
100% |
3232
4.15 IPS |
|
|
Style Transfer (Q)
|
98% |
9194
11.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1175
43.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
631
23.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2653
98.2 IPS |
|
|
Text Classification (SP)
|
100% |
1083
1.45 KIPS |
|
|
Text Classification (HP)
|
100% |
468
624.5 IPS |
|
|
Text Classification (Q)
|
97% |
1155
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
968
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
352
6.07 IPS |
|
|
Machine Translation (Q)
|
65% |
1319
26.5 IPS |
