LENOVO 82RF
Geekbench AI Score
3287
Single Precision Score
3315
Half Precision Score
8160
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 08:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i9-12900H |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | LENOVO 82RF |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1997
371.3 IPS |
|
|
Image Classification (HP)
|
100% |
1503
279.5 IPS |
|
|
Image Classification (Q)
|
100% |
5542
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2738
44.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2805
45.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5523
89.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4070
4.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
4530
5.29 IPS |
|
|
Pose Estimation (Q)
|
96% |
16286
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
1468
116.5 IPS |
|
|
Object Detection (HP)
|
100% |
1643
130.4 IPS |
|
|
Object Detection (Q)
|
88% |
4244
340.2 IPS |
|
|
Face Detection (SP)
|
100% |
4127
49.0 IPS |
|
|
Face Detection (HP)
|
100% |
4168
49.5 IPS |
|
|
Face Detection (Q)
|
100% |
9045
107.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4315
33.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4930
38.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
15689
122.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13240
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13999
18.0 IPS |
|
|
Style Transfer (Q)
|
98% |
46478
59.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2742
101.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2803
103.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9716
359.8 IPS |
|
|
Text Classification (SP)
|
100% |
2499
3.34 KIPS |
|
|
Text Classification (HP)
|
100% |
2453
3.27 KIPS |
|
|
Text Classification (Q)
|
92% |
3859
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2797
48.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2584
44.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2503
43.1 IPS |
