LENOVO 21DC0030US
Geekbench AI Score
3019
Single Precision Score
1165
Half Precision Score
3131
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | matus201 |
| Upload Date | July 18 2025 06:40 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-12900H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 21DC0030US |
| Motherboard | LENOVO 21DC0030US |
| Power Plan | Balanced |
| 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% |
2554
474.9 IPS |
|
|
Image Classification (HP)
|
100% |
425
79.1 IPS |
|
|
Image Classification (Q)
|
96% |
3141
586.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1402
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
861
14.0 IPS |
|
|
Image Segmentation (Q)
|
97% |
1838
29.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4956
5.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3217
3.75 IPS |
|
|
Pose Estimation (Q)
|
86% |
7992
9.45 IPS |
|
|
Object Detection (SP)
|
100% |
2159
171.2 IPS |
|
|
Object Detection (HP)
|
100% |
525
41.6 IPS |
|
|
Object Detection (Q)
|
58% |
2097
229.1 IPS |
|
|
Face Detection (SP)
|
100% |
6099
72.5 IPS |
|
|
Face Detection (HP)
|
100% |
1214
14.4 IPS |
|
|
Face Detection (Q)
|
96% |
5602
66.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5844
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1540
11.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
7618
60.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11551
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8025
10.3 IPS |
|
|
Style Transfer (Q)
|
87% |
14009
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2086
77.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1566
57.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2295
85.0 IPS |
|
|
Text Classification (SP)
|
100% |
1173
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
537
716.5 IPS |
|
|
Text Classification (Q)
|
97% |
389
521.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1632
28.1 IPS |
|
|
Machine Translation (HP)
|
100% |
594
10.2 IPS |
|
|
Machine Translation (Q)
|
68% |
1758
34.0 IPS |
