LENOVO 82RB
Geekbench AI Score
4238
Single Precision Score
3960
Half Precision Score
9153
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Nipoc |
| Upload Date | October 13 2024 08:19 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i7-12700H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82RB |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2755
512.3 IPS |
|
|
Image Classification (HP)
|
100% |
2630
489.2 IPS |
|
|
Image Classification (Q)
|
100% |
5766
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3011
48.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1852
30.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3153
51.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5225
6.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
5039
5.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
19275
22.6 IPS |
|
|
Object Detection (SP)
|
100% |
2541
201.5 IPS |
|
|
Object Detection (HP)
|
100% |
2613
207.3 IPS |
|
|
Object Detection (Q)
|
88% |
6417
514.4 IPS |
|
|
Face Detection (SP)
|
100% |
7422
88.2 IPS |
|
|
Face Detection (HP)
|
100% |
7329
87.1 IPS |
|
|
Face Detection (Q)
|
100% |
15182
180.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6647
51.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6567
50.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
16355
127.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15788
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
15041
19.3 IPS |
|
|
Style Transfer (Q)
|
98% |
51698
66.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3242
119.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3004
110.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10411
385.6 IPS |
|
|
Text Classification (SP)
|
100% |
1790
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
1771
2.36 KIPS |
|
|
Text Classification (Q)
|
92% |
3702
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3756
64.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3849
66.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3713
64.0 IPS |
