LENOVO 21KDS0YU1A
Geekbench AI Score
395
Single Precision Score
184
Half Precision Score
635
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 09 2025 12:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
734
136.5 IPS |
|
|
Image Classification (HP)
|
100% |
79
14.7 IPS |
|
|
Image Classification (Q)
|
99% |
339
63.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
178
2.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
125
2.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
392
6.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
679
0.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
512
0.60 IPS |
|
|
Pose Estimation (Q)
|
94% |
2145
2.52 IPS |
|
|
Object Detection (SP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (HP)
|
100% |
80
6.33 IPS |
|
|
Object Detection (Q)
|
86% |
268
21.5 IPS |
|
|
Face Detection (SP)
|
100% |
562
6.68 IPS |
|
|
Face Detection (HP)
|
100% |
214
2.54 IPS |
|
|
Face Detection (Q)
|
97% |
892
10.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
565
4.35 IPS |
|
|
Depth Estimation (HP)
|
99% |
291
2.24 IPS |
|
|
Depth Estimation (Q)
|
78% |
1181
9.42 IPS |
|
|
Style Transfer (SP)
|
100% |
1767
2.27 IPS |
|
|
Style Transfer (HP)
|
100% |
1206
1.55 IPS |
|
|
Style Transfer (Q)
|
98% |
4038
5.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
253
9.36 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
199
7.33 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
584
21.6 IPS |
|
|
Text Classification (SP)
|
100% |
186
248.4 IPS |
|
|
Text Classification (HP)
|
100% |
62
82.6 IPS |
|
|
Text Classification (Q)
|
97% |
152
203.6 IPS |
|
|
Machine Translation (SP)
|
100% |
238
4.10 IPS |
|
|
Machine Translation (HP)
|
100% |
124
2.13 IPS |
|
|
Machine Translation (Q)
|
65% |
371
7.46 IPS |
