LENOVO 21DE0042GE
Geekbench AI Score
3667
Single Precision Score
1437
Half Precision Score
6789
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Jurass |
| Upload Date | July 15 2025 08:16 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
2952
549.0 IPS |
|
|
Image Classification (HP)
|
100% |
550
102.2 IPS |
|
|
Image Classification (Q)
|
99% |
5498
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1743
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
894
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8068
131.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5811
6.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3677
4.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
18725
22.0 IPS |
|
|
Object Detection (SP)
|
100% |
2722
215.9 IPS |
|
|
Object Detection (HP)
|
100% |
682
54.1 IPS |
|
|
Object Detection (Q)
|
86% |
5328
428.2 IPS |
|
|
Face Detection (SP)
|
100% |
7608
90.4 IPS |
|
|
Face Detection (HP)
|
100% |
1590
18.9 IPS |
|
|
Face Detection (Q)
|
97% |
8067
96.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7077
54.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1940
14.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
13580
108.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13282
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8821
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
21797
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2508
92.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1740
64.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4975
184.2 IPS |
|
|
Text Classification (SP)
|
100% |
1500
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
740
987.4 IPS |
|
|
Text Classification (Q)
|
97% |
1379
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2010
34.6 IPS |
|
|
Machine Translation (HP)
|
100% |
872
15.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2873
57.7 IPS |
