LENOVO 82RF
Geekbench AI Score
3119
Single Precision Score
1299
Half Precision Score
4353
Quantized Score
Geekbench AI 1.1.0 Corporate for Windows AVX2
Result Information
| User | Physicist |
| Upload Date | July 14 2025 07:34 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82RF |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Legion Performance Mode |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1765
328.2 IPS |
|
|
Image Classification (HP)
|
100% |
447
83.1 IPS |
|
|
Image Classification (Q)
|
99% |
3271
610.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1604
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
868
14.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2840
46.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6242
7.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
3838
4.48 IPS |
|
|
Pose Estimation (Q)
|
95% |
20244
23.7 IPS |
|
|
Object Detection (SP)
|
100% |
2050
162.6 IPS |
|
|
Object Detection (HP)
|
100% |
542
43.0 IPS |
|
|
Object Detection (Q)
|
88% |
1977
158.4 IPS |
|
|
Face Detection (SP)
|
100% |
3484
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
1376
16.4 IPS |
|
|
Face Detection (Q)
|
97% |
3706
44.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6825
52.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1831
14.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
7965
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14700
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9429
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
19841
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2594
95.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1815
67.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3732
138.2 IPS |
|
|
Text Classification (SP)
|
100% |
1503
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
638
852.1 IPS |
|
|
Text Classification (Q)
|
97% |
1499
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1766
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
619
10.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2007
44.8 IPS |
