LENOVO 21KR
Geekbench AI Score
473
Single Precision Score
223
Half Precision Score
1147
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 11:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KR |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1647
306.3 IPS |
|
|
Image Classification (HP)
|
100% |
73
13.6 IPS |
|
|
Image Classification (Q)
|
99% |
1040
194.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
216
3.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
171
2.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
497
8.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
1250
1.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
938
1.09 IPS |
|
|
Pose Estimation (Q)
|
94% |
3629
4.25 IPS |
|
|
Object Detection (SP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (HP)
|
100% |
77
6.11 IPS |
|
|
Object Detection (Q)
|
86% |
1997
160.5 IPS |
|
|
Face Detection (SP)
|
100% |
638
7.58 IPS |
|
|
Face Detection (HP)
|
100% |
232
2.75 IPS |
|
|
Face Detection (Q)
|
97% |
897
10.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
900
6.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
335
2.58 IPS |
|
|
Depth Estimation (Q)
|
78% |
3847
30.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1896
2.44 IPS |
|
|
Style Transfer (HP)
|
100% |
1834
2.36 IPS |
|
|
Style Transfer (Q)
|
98% |
2964
3.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
290
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
177
6.55 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
670
24.8 IPS |
|
|
Text Classification (SP)
|
100% |
112
149.2 IPS |
|
|
Text Classification (HP)
|
100% |
74
98.5 IPS |
|
|
Text Classification (Q)
|
97% |
226
303.3 IPS |
|
|
Machine Translation (SP)
|
100% |
236
4.07 IPS |
|
|
Machine Translation (HP)
|
100% |
187
3.23 IPS |
|
|
Machine Translation (Q)
|
65% |
683
13.7 IPS |
