LENOVO 21KR
Geekbench AI Score
2364
Single Precision Score
2019
Half Precision Score
4309
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 11:40 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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% |
1252
232.9 IPS |
|
|
Image Classification (HP)
|
100% |
1262
234.6 IPS |
|
|
Image Classification (Q)
|
100% |
2836
527.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1962
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3323
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3412
3.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
1910
2.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
11181
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1247
98.9 IPS |
|
|
Object Detection (HP)
|
100% |
1253
99.4 IPS |
|
|
Object Detection (Q)
|
88% |
2473
198.2 IPS |
|
|
Face Detection (SP)
|
100% |
3706
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
3714
44.1 IPS |
|
|
Face Detection (Q)
|
100% |
7872
93.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3884
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1287
9.91 IPS |
|
|
Depth Estimation (Q)
|
89% |
2993
23.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7509
9.65 IPS |
|
|
Style Transfer (HP)
|
100% |
9014
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
26172
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2053
75.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2153
79.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4406
163.2 IPS |
|
|
Text Classification (SP)
|
100% |
1295
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
1312
1.75 KIPS |
|
|
Text Classification (Q)
|
92% |
2079
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1676
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1564
26.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1501
25.9 IPS |
