LENOVO 21KDS0YU1A
Geekbench AI Score
643
Single Precision Score
572
Half Precision Score
1307
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 09 2025 12:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 165U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21KDS0YU1A |
| Motherboard | LENOVO 21KDS0YU1A |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
620
115.4 IPS |
|
|
Image Classification (HP)
|
100% |
567
105.5 IPS |
|
|
Image Classification (Q)
|
100% |
802
149.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
882
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
793
12.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1653
26.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
907
1.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
615
0.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
2264
2.65 IPS |
|
|
Object Detection (SP)
|
100% |
254
20.2 IPS |
|
|
Object Detection (HP)
|
100% |
250
19.8 IPS |
|
|
Object Detection (Q)
|
88% |
751
60.2 IPS |
|
|
Face Detection (SP)
|
100% |
865
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
815
9.69 IPS |
|
|
Face Detection (Q)
|
100% |
1779
21.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
775
5.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
701
5.40 IPS |
|
|
Depth Estimation (Q)
|
89% |
2214
17.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2090
2.69 IPS |
|
|
Style Transfer (HP)
|
100% |
1973
2.54 IPS |
|
|
Style Transfer (Q)
|
98% |
6239
8.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
368
13.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
331
12.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1280
47.4 IPS |
|
|
Text Classification (SP)
|
100% |
325
434.2 IPS |
|
|
Text Classification (HP)
|
100% |
335
447.3 IPS |
|
|
Text Classification (Q)
|
92% |
537
720.8 IPS |
|
|
Machine Translation (SP)
|
100% |
576
9.92 IPS |
|
|
Machine Translation (HP)
|
100% |
436
7.51 IPS |
|
|
Machine Translation (Q)
|
100% |
383
6.60 IPS |
