LENOVO 21DC0030US
Geekbench AI Score
3498
Single Precision Score
3410
Half Precision Score
2108
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | matus201 |
| Upload Date | July 18 2025 06:36 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
1538
286.1 IPS |
|
|
Image Classification (HP)
|
100% |
1523
283.2 IPS |
|
|
Image Classification (Q)
|
100% |
1191
221.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2245
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2653
43.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1636
26.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13078
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
13005
15.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
6476
7.59 IPS |
|
|
Object Detection (SP)
|
100% |
1687
133.9 IPS |
|
|
Object Detection (HP)
|
98% |
1449
115.3 IPS |
|
|
Object Detection (Q)
|
86% |
1420
114.2 IPS |
|
|
Face Detection (SP)
|
100% |
3462
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
4043
48.0 IPS |
|
|
Face Detection (Q)
|
97% |
2460
29.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6728
51.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
7146
55.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
4670
37.4 IPS |
|
|
Style Transfer (SP)
|
100% |
28018
36.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34715
44.6 IPS |
|
|
Style Transfer (Q)
|
98% |
17329
22.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3878
143.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4787
176.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1645
60.9 IPS |
|
|
Text Classification (SP)
|
100% |
984
1.31 KIPS |
|
|
Text Classification (HP)
|
100% |
426
568.8 IPS |
|
|
Text Classification (Q)
|
97% |
486
650.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1448
24.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1366
23.5 IPS |
|
|
Machine Translation (Q)
|
70% |
610
11.4 IPS |
