LENOVO 21KC006DUK
Geekbench AI Score
2593
Single Precision Score
4354
Half Precision Score
1934
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 17 2025 05:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KC006DUK |
| Motherboard | LENOVO 21KC006DUK |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 165U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1287
239.3 IPS |
|
|
Image Classification (HP)
|
100% |
2389
444.3 IPS |
|
|
Image Classification (Q)
|
100% |
1188
221.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1786
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4319
70.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1460
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7636
8.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
11463
13.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
6626
7.77 IPS |
|
|
Object Detection (SP)
|
100% |
1370
108.7 IPS |
|
|
Object Detection (HP)
|
99% |
2731
217.2 IPS |
|
|
Object Detection (Q)
|
86% |
1196
96.2 IPS |
|
|
Face Detection (SP)
|
100% |
2623
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
5134
61.0 IPS |
|
|
Face Detection (Q)
|
97% |
2041
24.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5242
40.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12284
95.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
4084
32.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22200
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
33692
43.3 IPS |
|
|
Style Transfer (Q)
|
98% |
17500
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3725
137.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6519
240.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2125
78.7 IPS |
|
|
Text Classification (SP)
|
86% |
438
592.1 IPS |
|
|
Text Classification (HP)
|
99% |
424
565.7 IPS |
|
|
Text Classification (Q)
|
84% |
282
382.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1149
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1293
22.3 IPS |
|
|
Machine Translation (Q)
|
70% |
611
11.5 IPS |
