LENOVO 21LE
Geekbench AI Score
2992
Single Precision Score
8728
Half Precision Score
13302
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Eugene107 |
| Upload Date | April 27 2025 12:55 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | LENOVO 21LE |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1442
268.2 IPS |
|
|
Image Classification (HP)
|
100% |
6482
1.21 KIPS |
|
|
Image Classification (Q)
|
100% |
9187
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2182
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2415
39.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3111
50.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4592
5.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
30084
35.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
66179
77.5 IPS |
|
|
Object Detection (SP)
|
100% |
1607
127.5 IPS |
|
|
Object Detection (HP)
|
100% |
5346
424.1 IPS |
|
|
Object Detection (Q)
|
87% |
8839
709.4 IPS |
|
|
Face Detection (SP)
|
100% |
4630
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
15303
181.8 IPS |
|
|
Face Detection (Q)
|
100% |
28558
339.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4779
36.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
16370
126.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
29367
228.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13609
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
46485
59.8 IPS |
|
|
Style Transfer (Q)
|
98% |
82917
106.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2003
74.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12518
462.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21114
781.9 IPS |
|
|
Text Classification (SP)
|
100% |
1686
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
1801
2.40 KIPS |
|
|
Text Classification (Q)
|
92% |
1801
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2441
42.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3883
66.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3925
67.6 IPS |
