LENOVO 21DE0042GE
Geekbench AI Score
4127
Single Precision Score
4138
Half Precision Score
10028
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Jurass |
| Upload Date | July 15 2025 08:19 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i9-12900H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21DE0042GE |
| Motherboard | LENOVO 21DE0042GE |
| Power Plan | Hchstleistung |
| 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% |
2784
517.7 IPS |
|
|
Image Classification (HP)
|
100% |
2810
522.6 IPS |
|
|
Image Classification (Q)
|
100% |
6497
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3593
58.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3640
59.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6497
105.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4865
5.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
4708
5.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
16979
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
2272
180.2 IPS |
|
|
Object Detection (HP)
|
100% |
2407
190.9 IPS |
|
|
Object Detection (Q)
|
88% |
6513
522.1 IPS |
|
|
Face Detection (SP)
|
100% |
4318
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
4250
50.5 IPS |
|
|
Face Detection (Q)
|
100% |
14819
176.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6445
49.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
6284
48.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
16692
129.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14071
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14122
18.2 IPS |
|
|
Style Transfer (Q)
|
98% |
50016
64.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3000
110.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3035
112.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10098
374.0 IPS |
|
|
Text Classification (SP)
|
100% |
2697
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
2703
3.61 KIPS |
|
|
Text Classification (Q)
|
92% |
4298
5.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4097
70.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4109
70.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4103
70.7 IPS |
