LENOVO 21MR
Geekbench AI Score
2428
Single Precision Score
894
Half Precision Score
3897
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 18 2025 04:38 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 5 125H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 21MR |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1905
354.2 IPS |
|
|
Image Classification (HP)
|
100% |
426
79.2 IPS |
|
|
Image Classification (Q)
|
99% |
4098
764.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1158
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
732
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2130
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4260
4.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
3060
3.57 IPS |
|
|
Pose Estimation (Q)
|
94% |
15112
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1849
146.7 IPS |
|
|
Object Detection (HP)
|
100% |
478
37.9 IPS |
|
|
Object Detection (Q)
|
86% |
3828
307.7 IPS |
|
|
Face Detection (SP)
|
100% |
4883
58.0 IPS |
|
|
Face Detection (HP)
|
100% |
1157
13.8 IPS |
|
|
Face Detection (Q)
|
97% |
6493
77.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5199
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1412
10.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
10388
82.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8740
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
3568
4.59 IPS |
|
|
Style Transfer (Q)
|
98% |
10687
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1632
60.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
592
21.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2627
97.3 IPS |
|
|
Text Classification (SP)
|
100% |
862
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
415
553.6 IPS |
|
|
Text Classification (Q)
|
97% |
909
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1318
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
501
8.64 IPS |
|
|
Machine Translation (Q)
|
65% |
931
18.7 IPS |
