LENOVO 82RF
Geekbench AI Score
3828
Single Precision Score
3730
Half Precision Score
8527
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 08:37 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% |
2263
420.9 IPS |
|
|
Image Classification (HP)
|
100% |
2090
388.7 IPS |
|
|
Image Classification (Q)
|
100% |
5453
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2827
45.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2915
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3927
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4603
5.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
4597
5.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
15306
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2258
179.1 IPS |
|
|
Object Detection (HP)
|
100% |
2347
186.2 IPS |
|
|
Object Detection (Q)
|
88% |
5597
448.7 IPS |
|
|
Face Detection (SP)
|
100% |
5827
69.2 IPS |
|
|
Face Detection (HP)
|
100% |
6270
74.5 IPS |
|
|
Face Detection (Q)
|
100% |
13822
164.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5887
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
5943
45.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
14911
115.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13657
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13994
18.0 IPS |
|
|
Style Transfer (Q)
|
98% |
44695
57.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2773
102.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1889
69.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9101
337.0 IPS |
|
|
Text Classification (SP)
|
100% |
2483
3.31 KIPS |
|
|
Text Classification (HP)
|
100% |
2460
3.28 KIPS |
|
|
Text Classification (Q)
|
92% |
4063
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3152
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3281
56.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3254
56.0 IPS |
